{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}D:\swweschl\Dropbox\Party_Interactions_Perceptions\PSRM Submission\Replication Files\For_Simon\logs\appendix.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 1 Apr 2023, 14:39:20

{com}. do "C:\Users\swweschl\AppData\Local\Temp\STD203c_000000.tmp"
{txt}
{com}. 
. 
. /* This do file provides the code for all the tables in Appendix 2 (except for tables A2.7 and A2.12)
> , Appendix 5, and Appendix 6. */
. 
. global dataDir "D:\swweschl\Dropbox\Party_Interactions_Perceptions\PSRM Submission\Replication Files"
{txt}
{com}. use "$dataDir/replication_data.dta", clear
{txt}
{com}. 
. 
. /* Tables A2.1 */
. 
. set more off
{txt}
{com}. 
. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab percent_month120_bothCab{c -(}
{txt}  3{com}. 
. mixed coop coopscore_meanfull_withzero ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221976.53}  
Iteration 1:{space 3}log likelihood = {res:-221976.53}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    68.15
{txt}Log likelihood = {res}-221976.53{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .1845421{col 41}{space 2}  .027166{col 52}{space 1}    6.79{col 61}{space 3}0.000{col 69}{space 4} .1312978{col 82}{space 3} .2377864
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0339834{col 41}{space 2} .0081269{col 52}{space 1}   -4.18{col 61}{space 3}0.000{col 69}{space 4}-.0499119{col 82}{space 3} -.018055
{txt}{space 12}current_bothCab {c |}{col 29}{res}{space 2}   2.3037{col 41}{space 2}  1.27719{col 52}{space 1}    1.80{col 61}{space 3}0.071{col 69}{space 4}-.1995472{col 82}{space 3} 4.806947
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.977816{col 41}{space 2} .2415492{col 52}{space 1}   20.61{col 61}{space 3}0.000{col 69}{space 4} 4.504388{col 82}{space 3} 5.451243
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.606926{col 44} .2477943{col 58} 1.187784{col 70} 2.173975
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3186739{col 44} .0162554{col 58} .2883548{col 70}  .352181
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.879809{col 44} .0220987{col 58} 4.836688{col 70} 4.923315
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24898.13{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221327.55}  
Iteration 1:{space 3}log likelihood = {res:-221327.55}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  1377.90
{txt}Log likelihood = {res}-221327.55{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .1862215{col 41}{space 2} .0269756{col 52}{space 1}    6.90{col 61}{space 3}0.000{col 69}{space 4} .1333502{col 82}{space 3} .2390927
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0317474{col 41}{space 2} .0079015{col 52}{space 1}   -4.02{col 61}{space 3}0.000{col 69}{space 4} -.047234{col 82}{space 3}-.0162608
{txt}{space 10}perceived_bothCab {c |}{col 29}{res}{space 2} .7657516{col 41}{space 2} .0211467{col 52}{space 1}   36.21{col 61}{space 3}0.000{col 69}{space 4} .7243047{col 82}{space 3} .8071984
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.794501{col 41}{space 2} .2344447{col 52}{space 1}   20.45{col 61}{space 3}0.000{col 69}{space 4} 4.334998{col 82}{space 3} 5.254004
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.518575{col 44}  .234234{col 58} 1.122385{col 70} 2.054616
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}  .297071{col 44} .0153661{col 58} .2684304{col 70} .3287675
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.820401{col 44} .0218297{col 58} 4.777805{col 70} 4.863377
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}23857.13{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221968.34}  
Iteration 1:{space 3}log likelihood = {res:-221968.34}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    90.98
{txt}Log likelihood = {res}-221968.34{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .1829612{col 41}{space 2} .0271497{col 52}{space 1}    6.74{col 61}{space 3}0.000{col 69}{space 4} .1297488{col 82}{space 3} .2361736
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0286663{col 41}{space 2}  .007468{col 52}{space 1}   -3.84{col 61}{space 3}0.000{col 69}{space 4}-.0433033{col 82}{space 3}-.0140293
{txt}{space 3}percent_month120_bothCab {c |}{col 29}{res}{space 2} .0495465{col 41}{space 2} .0105622{col 52}{space 1}    4.69{col 61}{space 3}0.000{col 69}{space 4} .0288449{col 82}{space 3}  .070248
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.682907{col 41}{space 2} .2295315{col 52}{space 1}   20.40{col 61}{space 3}0.000{col 69}{space 4} 4.233033{col 82}{space 3}  5.13278
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.324174{col 44} .2043566{col 58} .9785456{col 70}  1.79188
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3186724{col 44} .0162553{col 58} .2883534{col 70} .3521793
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.879809{col 44} .0220987{col 58} 4.836688{col 70} 4.923314
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}22629.63{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res: -189120.7}  
Iteration 1:{space 3}log likelihood = {res: -189120.7}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  7970.41
{txt}Log likelihood = {res} -189120.7{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .2213084{col 41}{space 2} .0310769{col 52}{space 1}    7.12{col 61}{space 3}0.000{col 69}{space 4} .1603987{col 82}{space 3}  .282218
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2}-.2815128{col 41}{space 2} .0031666{col 52}{space 1}  -88.90{col 61}{space 3}0.000{col 69}{space 4}-.2877194{col 82}{space 3}-.2753063
{txt}{space 12}current_bothCab {c |}{col 29}{res}{space 2} 1.880829{col 41}{space 2} 1.107685{col 52}{space 1}    1.70{col 61}{space 3}0.090{col 69}{space 4}-.2901941{col 82}{space 3} 4.051853
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 5.108506{col 41}{space 2} .1215612{col 52}{space 1}   42.02{col 61}{space 3}0.000{col 69}{space 4}  4.87025{col 82}{space 3} 5.346761
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.206807{col 44} .1864189{col 58} .8915595{col 70} 1.633523
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3227696{col 44} .0165396{col 58} .2919273{col 70} .3568705
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.369133{col 44} .0212109{col 58} 4.327758{col 70} 4.410904
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}18324.09{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188605.08}  
Iteration 1:{space 3}log likelihood = {res:-188605.08}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  9104.83
{txt}Log likelihood = {res}-188605.08{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .2252246{col 41}{space 2} .0308535{col 52}{space 1}    7.30{col 61}{space 3}0.000{col 69}{space 4} .1647529{col 82}{space 3} .2856963
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2}-.2736871{col 41}{space 2} .0031575{col 52}{space 1}  -86.68{col 61}{space 3}0.000{col 69}{space 4}-.2798758{col 82}{space 3}-.2674985
{txt}{space 10}perceived_bothCab {c |}{col 29}{res}{space 2} .6697224{col 41}{space 2}   .02075{col 52}{space 1}   32.28{col 61}{space 3}0.000{col 69}{space 4} .6290532{col 82}{space 3} .7103917
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.963508{col 41}{space 2} .1165408{col 52}{space 1}   42.59{col 61}{space 3}0.000{col 69}{space 4} 4.735092{col 82}{space 3} 5.191923
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.118805{col 44} .1729251{col 58} .8264004{col 70}  1.51467
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3027604{col 44} .0156989{col 58} .2735029{col 70} .3351476
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}  4.32123{col 44} .0209778{col 58} 4.280309{col 70} 4.362542
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}17216.70{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-189110.38}  
Iteration 1:{space 3}log likelihood = {res:-189110.38}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  8009.98
{txt}Log likelihood = {res}-189110.38{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2}  .217825{col 41}{space 2} .0310329{col 52}{space 1}    7.02{col 61}{space 3}0.000{col 69}{space 4} .1570016{col 82}{space 3} .2786484
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2} -.281541{col 41}{space 2} .0031663{col 52}{space 1}  -88.92{col 61}{space 3}0.000{col 69}{space 4}-.2877469{col 82}{space 3}-.2753351
{txt}{space 3}percent_month120_bothCab {c |}{col 29}{res}{space 2}  .045905{col 41}{space 2} .0088315{col 52}{space 1}    5.20{col 61}{space 3}0.000{col 69}{space 4} .0285955{col 82}{space 3} .0632145
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.951829{col 41}{space 2} .1127843{col 52}{space 1}   43.91{col 61}{space 3}0.000{col 69}{space 4} 4.730776{col 82}{space 3} 5.172882
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .9453683{col 44} .1462294{col 58} .6981317{col 70} 1.280161
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3227691{col 44} .0165396{col 58} .2919268{col 70} .3568699
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.369132{col 44} .0212109{col 58} 4.327757{col 70} 4.410903
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}16095.87{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. 
. /* Table A2.2 */
. 
. 
. 
. /* create a variable where we replace missing value of the events score with 
> the average score */
. 
. capture drop coopscore_meanfull_avg
{txt}
{com}. gen coopscore_meanfull_avg=coopscore_meanfull
{txt}(67,831 missing values generated)

{com}. 
. levelsof countryyear, local(levels) 
{res}{txt}1 2 3 4 5 6 7

{com}. foreach l of local levels {c -(}
{txt}  2{com}. 
. sum coopscore_meanfull if countryyear==`l'
{txt}  3{com}. 
. replace coopscore_meanfull_avg=r(mean) if coopscore_meanfull_avg==. & countryyear==`l'
{txt}  4{com}. 
. 
. {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
coopsc~nfull {c |}{res}     13,520   -.0104222    .0860371  -.2298069   .1452959
{txt}(0 real changes made)

    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
coopsc~nfull {c |}{res}     10,000   -.1906704    .5836197  -1.317413   .9312641
{txt}(0 real changes made)

    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
coopsc~nfull {c |}{res}     12,780   -.0002708    .0042449  -.0096707   .0034805
{txt}(44,730 real changes made)

    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
coopsc~nfull {c |}{res}     10,410    .2832091    .8969528  -1.347191   2.101432
{txt}(5,205 real changes made)

    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
coopsc~nfull {c |}{res}     20,230    .2214431    .5216516  -.0650232    1.68209
{txt}(10,115 real changes made)

    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
coopsc~nfull {c |}{res}      9,821   -.0004773     .001824  -.0045973   .0016384
{txt}(2,806 real changes made)

    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
coopsc~nfull {c |}{res}      9,950    -.120122     .611562  -1.561266   1.044633
{txt}(4,975 real changes made)

{com}. 
. set more off
{txt}
{com}. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab percent_month120_bothCab{c -(}
{txt}  3{com}. 
. mixed coop coopscore_meanfull_avg ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221976.18}  
Iteration 1:{space 3}log likelihood = {res:-221976.18}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    68.65
{txt}Log likelihood = {res}-221976.18{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  coop{col 24}{c |} Coefficient{col 36}  Std. err.{col 48}      z{col 56}   P>|z|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_avg {c |}{col 24}{res}{space 2} .1856794{col 36}{space 2} .0271298{col 47}{space 1}    6.84{col 56}{space 3}0.000{col 64}{space 4}  .132506{col 77}{space 3} .2388528
{txt}{space 11}mf_df_rile1 {c |}{col 24}{res}{space 2}-.0339665{col 36}{space 2} .0081637{col 47}{space 1}   -4.16{col 56}{space 3}0.000{col 64}{space 4}-.0499671{col 77}{space 3}-.0179658
{txt}{space 7}current_bothCab {c |}{col 24}{res}{space 2} 2.302921{col 36}{space 2} 1.282978{col 47}{space 1}    1.79{col 56}{space 3}0.073{col 64}{space 4}-.2116686{col 77}{space 3} 4.817511
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 4.976016{col 36}{space 2} .2426409{col 47}{space 1}   20.51{col 56}{space 3}0.000{col 64}{space 4} 4.500448{col 77}{space 3} 5.451583
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.621596{col 44} .2500363{col 58} 1.198657{col 70} 2.193768
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3186949{col 44} .0162559{col 58} .2883748{col 70}  .352203
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.879733{col 44} .0220984{col 58} 4.836612{col 70} 4.923237
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}25318.62{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221327.14}  
Iteration 1:{space 3}log likelihood = {res:-221327.14}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  1378.46
{txt}Log likelihood = {res}-221327.14{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  coop{col 24}{c |} Coefficient{col 36}  Std. err.{col 48}      z{col 56}   P>|z|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_avg {c |}{col 24}{res}{space 2} .1875181{col 36}{space 2} .0269399{col 47}{space 1}    6.96{col 56}{space 3}0.000{col 64}{space 4} .1347168{col 77}{space 3} .2403195
{txt}{space 11}mf_df_rile1 {c |}{col 24}{res}{space 2}  -.03173{col 36}{space 2} .0079388{col 47}{space 1}   -4.00{col 56}{space 3}0.000{col 64}{space 4}-.0472899{col 77}{space 3}-.0161702
{txt}{space 5}perceived_bothCab {c |}{col 24}{res}{space 2} .7657702{col 36}{space 2} .0211467{col 47}{space 1}   36.21{col 56}{space 3}0.000{col 64}{space 4} .7243235{col 77}{space 3} .8072169
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 4.792656{col 36}{space 2} .2355502{col 47}{space 1}   20.35{col 56}{space 3}0.000{col 64}{space 4} 4.330986{col 77}{space 3} 5.254326
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.533043{col 44} .2364246{col 58} 1.133138{col 70} 2.074082
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2970967{col 44} .0153668{col 58} .2684547{col 70} .3287947
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.820317{col 44} .0218293{col 58} 4.777722{col 70} 4.863292
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24943.59{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221968.06}  
Iteration 1:{space 3}log likelihood = {res:-221968.06}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    91.08
{txt}Log likelihood = {res}-221968.06{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    coop{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}coopscore_meanfull_avg {c |}{col 26}{res}{space 2}  .183863{col 38}{space 2} .0271129{col 49}{space 1}    6.78{col 58}{space 3}0.000{col 66}{space 4} .1307227{col 79}{space 3} .2370033
{txt}{space 13}mf_df_rile1 {c |}{col 26}{res}{space 2}-.0286458{col 38}{space 2} .0075072{col 49}{space 1}   -3.82{col 58}{space 3}0.000{col 66}{space 4}-.0433598{col 79}{space 3}-.0139319
{txt}percent_month120_bothCab {c |}{col 26}{res}{space 2} .0495818{col 38}{space 2} .0106175{col 49}{space 1}    4.67{col 58}{space 3}0.000{col 66}{space 4} .0287719{col 79}{space 3} .0703918
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 4.680893{col 38}{space 2} .2307326{col 49}{space 1}   20.29{col 58}{space 3}0.000{col 66}{space 4} 4.228665{col 79}{space 3}  5.13312
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.338214{col 44} .2065215{col 58} .9889241{col 70} 1.810875
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3186936{col 44} .0162558{col 58} .2883736{col 70} .3522015
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.879732{col 44} .0220984{col 58} 4.836612{col 70} 4.923237
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}22599.83{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-189122.11}  
Iteration 1:{space 3}log likelihood = {res:-189122.11}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  7966.78
{txt}Log likelihood = {res}-189122.11{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  coop{col 24}{c |} Coefficient{col 36}  Std. err.{col 48}      z{col 56}   P>|z|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_avg {c |}{col 24}{res}{space 2} .2148476{col 36}{space 2} .0310451{col 47}{space 1}    6.92{col 56}{space 3}0.000{col 64}{space 4} .1540003{col 77}{space 3} .2756949
{txt}{space 16}lrdist {c |}{col 24}{res}{space 2}-.2814978{col 36}{space 2} .0031667{col 47}{space 1}  -88.89{col 56}{space 3}0.000{col 64}{space 4}-.2877045{col 77}{space 3}-.2752912
{txt}{space 7}current_bothCab {c |}{col 24}{res}{space 2} 1.894586{col 36}{space 2} 1.113924{col 47}{space 1}    1.70{col 56}{space 3}0.089{col 64}{space 4} -.288664{col 77}{space 3} 4.077836
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 5.106985{col 36}{space 2} .1222312{col 47}{space 1}   41.78{col 56}{space 3}0.000{col 64}{space 4} 4.867416{col 77}{space 3} 5.346553
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.220534{col 44}  .188518{col 58} .9017319{col 70} 1.652048
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3228421{col 44} .0165426{col 58} .2919943{col 70} .3569489
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.369214{col 44} .0212113{col 58} 4.327838{col 70} 4.410985
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}18610.03{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188606.57}  
Iteration 1:{space 3}log likelihood = {res:-188606.57}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  9100.76
{txt}Log likelihood = {res}-188606.57{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  coop{col 24}{c |} Coefficient{col 36}  Std. err.{col 48}      z{col 56}   P>|z|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_avg {c |}{col 24}{res}{space 2} .2185414{col 36}{space 2} .0308226{col 47}{space 1}    7.09{col 56}{space 3}0.000{col 64}{space 4} .1581302{col 77}{space 3} .2789526
{txt}{space 16}lrdist {c |}{col 24}{res}{space 2}-.2736716{col 36}{space 2} .0031576{col 47}{space 1}  -86.67{col 56}{space 3}0.000{col 64}{space 4}-.2798604{col 77}{space 3}-.2674828
{txt}{space 5}perceived_bothCab {c |}{col 24}{res}{space 2} .6696768{col 36}{space 2} .0207504{col 47}{space 1}   32.27{col 56}{space 3}0.000{col 64}{space 4} .6290068{col 77}{space 3} .7103468
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 4.962128{col 36}{space 2} .1172605{col 47}{space 1}   42.32{col 56}{space 3}0.000{col 64}{space 4} 4.732301{col 77}{space 3} 5.191954
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.133088{col 44} .1750858{col 58} .8370188{col 70} 1.533883
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3028366{col 44}  .015702{col 58} .2735732{col 70} .3352301
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.321311{col 44} .0209782{col 58}  4.28039{col 70} 4.362624
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}17910.69{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-189111.87}  
Iteration 1:{space 3}log likelihood = {res:-189111.87}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  8005.58
{txt}Log likelihood = {res}-189111.87{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    coop{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}coopscore_meanfull_avg {c |}{col 26}{res}{space 2} .2109503{col 38}{space 2} .0309999{col 49}{space 1}    6.80{col 58}{space 3}0.000{col 66}{space 4} .1501915{col 79}{space 3}  .271709
{txt}{space 18}lrdist {c |}{col 26}{res}{space 2}-.2815258{col 38}{space 2} .0031664{col 49}{space 1}  -88.91{col 58}{space 3}0.000{col 66}{space 4}-.2877318{col 79}{space 3}-.2753198
{txt}percent_month120_bothCab {c |}{col 26}{res}{space 2} .0460381{col 38}{space 2} .0088885{col 49}{space 1}    5.18{col 58}{space 3}0.000{col 66}{space 4}  .028617{col 79}{space 3} .0634592
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 4.949981{col 38}{space 2} .1134947{col 49}{space 1}   43.61{col 58}{space 3}0.000{col 66}{space 4} 4.727535{col 79}{space 3} 5.172427
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .9577666{col 44} .1481589{col 58} .7072705{col 70} 1.296982
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3228413{col 44} .0165425{col 58} .2919935{col 70}  .356948
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.369214{col 44} .0212113{col 58} 4.327838{col 70} 4.410985
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}15991.27{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. 
. /* Table A2.3 */
. 
. set more off
{txt}
{com}. 
. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab percent_month120_bothCab{c -(}
{txt}  3{com}. 
. eststo: mixed coop coopscore_meanhalf ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-136939.47}  
Iteration 1:{space 3}log likelihood = {res:-136939.47}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    61,108

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   61,108{col 50} 61,108.0{col 61}   61,108
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     35.4{col 61}       56
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    58.72
{txt}Log likelihood = {res}-136939.47{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              coop{col 20}{c |} Coefficient{col 32}  Std. err.{col 44}      z{col 52}   P>|z|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf {c |}{col 20}{res}{space 2} .0989963{col 32}{space 2} .0235841{col 43}{space 1}    4.20{col 52}{space 3}0.000{col 60}{space 4} .0527723{col 73}{space 3} .1452203
{txt}{space 7}mf_df_rile1 {c |}{col 20}{res}{space 2}-.0373115{col 32}{space 2} .0071859{col 43}{space 1}   -5.19{col 52}{space 3}0.000{col 60}{space 4}-.0513957{col 73}{space 3}-.0232273
{txt}{space 3}current_bothCab {c |}{col 20}{res}{space 2} 2.512177{col 32}{space 2} .6756091{col 43}{space 1}    3.72{col 52}{space 3}0.000{col 60}{space 4} 1.188007{col 73}{space 3} 3.836346
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 5.056377{col 32}{space 2} .1888501{col 43}{space 1}   26.77{col 52}{space 3}0.000{col 60}{space 4} 4.686238{col 73}{space 3} 5.426516
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .4382333{col 44}  .108996{col 58} .2691517{col 70} .7135322
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4376444{col 44} .0227712{col 58}  .395214{col 70} .4846302
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.971607{col 44} .0289288{col 58}  4.91523{col 70} 5.028631
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5903.37{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est1{txt} stored)
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-136632.68}  
Iteration 1:{space 3}log likelihood = {res:-136632.68}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    61,108

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   61,108{col 50} 61,108.0{col 61}   61,108
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     35.4{col 61}       56
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}   669.99
{txt}Log likelihood = {res}-136632.68{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              coop{col 20}{c |} Coefficient{col 32}  Std. err.{col 44}      z{col 52}   P>|z|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf {c |}{col 20}{res}{space 2} .0890732{col 32}{space 2} .0234567{col 43}{space 1}    3.80{col 52}{space 3}0.000{col 60}{space 4} .0430989{col 73}{space 3} .1350474
{txt}{space 7}mf_df_rile1 {c |}{col 20}{res}{space 2}-.0351201{col 32}{space 2} .0078036{col 43}{space 1}   -4.50{col 52}{space 3}0.000{col 60}{space 4}-.0504149{col 73}{space 3}-.0198252
{txt}{space 1}perceived_bothCab {c |}{col 20}{res}{space 2} .6692257{col 32}{space 2} .0266769{col 43}{space 1}   25.09{col 52}{space 3}0.000{col 60}{space 4}   .61694{col 73}{space 3} .7215114
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 4.961285{col 32}{space 2} .2045229{col 43}{space 1}   24.26{col 52}{space 3}0.000{col 60}{space 4} 4.560427{col 73}{space 3} 5.362142
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .5183379{col 44} .1287359{col 58} .3185709{col 70} .8433732
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4186763{col 44} .0219927{col 58} .3777162{col 70} .4640783
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.924881{col 44}  .028657{col 58} 4.869033{col 70} 4.981369
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}6213.65{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est2{txt} stored)
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-136934.99}  
Iteration 1:{space 3}log likelihood = {res:-136934.99}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    61,108

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   61,108{col 50} 61,108.0{col 61}   61,108
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     35.4{col 61}       56
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    81.93
{txt}Log likelihood = {res}-136934.99{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    coop{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}coopscore_meanhalf {c |}{col 26}{res}{space 2} .0990653{col 38}{space 2} .0235567{col 49}{space 1}    4.21{col 58}{space 3}0.000{col 66}{space 4}  .052895{col 79}{space 3} .1452356
{txt}{space 13}mf_df_rile1 {c |}{col 26}{res}{space 2}-.0329582{col 38}{space 2} .0063073{col 49}{space 1}   -5.23{col 58}{space 3}0.000{col 66}{space 4}-.0453203{col 79}{space 3}-.0205961
{txt}percent_month120_bothCab {c |}{col 26}{res}{space 2} .0349525{col 38}{space 2} .0065664{col 49}{space 1}    5.32{col 58}{space 3}0.000{col 66}{space 4} .0220827{col 79}{space 3} .0478224
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 4.845916{col 38}{space 2} .1722104{col 49}{space 1}   28.14{col 58}{space 3}0.000{col 66}{space 4} 4.508389{col 79}{space 3} 5.183442
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .3340697{col 44} .0830802{col 58} .2051874{col 70} .5439055
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4376465{col 44} .0227711{col 58} .3952162{col 70}  .484632
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.971599{col 44} .0289287{col 58} 4.915222{col 70} 5.028623
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5371.35{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est3{txt} stored)
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-109873.55}  
Iteration 1:{space 3}log likelihood = {res:-109873.55}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    50,032

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   50,032{col 50} 50,032.0{col 61}   50,032
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     29.0{col 61}       50
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  3830.12
{txt}Log likelihood = {res}-109873.55{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              coop{col 20}{c |} Coefficient{col 32}  Std. err.{col 44}      z{col 52}   P>|z|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf {c |}{col 20}{res}{space 2} .1284922{col 32}{space 2} .0237336{col 43}{space 1}    5.41{col 52}{space 3}0.000{col 60}{space 4} .0819753{col 73}{space 3} .1750092
{txt}{space 12}lrdist {c |}{col 20}{res}{space 2}-.2652347{col 32}{space 2} .0043066{col 43}{space 1}  -61.59{col 52}{space 3}0.000{col 60}{space 4}-.2736756{col 73}{space 3}-.2567939
{txt}{space 3}current_bothCab {c |}{col 20}{res}{space 2} 2.068769{col 32}{space 2} .7514962{col 43}{space 1}    2.75{col 52}{space 3}0.006{col 60}{space 4} .5958633{col 73}{space 3} 3.541674
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 5.123446{col 32}{space 2} .1345616{col 43}{space 1}   38.08{col 52}{space 3}0.000{col 60}{space 4}  4.85971{col 73}{space 3} 5.387182
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33}  .543615{col 44} .1372018{col 58} .3314809{col 70} .8915063
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4107387{col 44} .0226722{col 58} .3686214{col 70} .4576682
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.523936{col 44} .0292094{col 58} 4.467047{col 70} 4.581549
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5832.03{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est4{txt} stored)
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-109616.58}  
Iteration 1:{space 3}log likelihood = {res:-109616.58}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    50,032

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   50,032{col 50} 50,032.0{col 61}   50,032
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     29.0{col 61}       50
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  4384.66
{txt}Log likelihood = {res}-109616.58{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              coop{col 20}{c |} Coefficient{col 32}  Std. err.{col 44}      z{col 52}   P>|z|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf {c |}{col 20}{res}{space 2} .1270033{col 32}{space 2} .0235955{col 43}{space 1}    5.38{col 52}{space 3}0.000{col 60}{space 4}  .080757{col 73}{space 3} .1732496
{txt}{space 12}lrdist {c |}{col 20}{res}{space 2}-.2579013{col 32}{space 2} .0042969{col 43}{space 1}  -60.02{col 52}{space 3}0.000{col 60}{space 4} -.266323{col 73}{space 3}-.2494795
{txt}{space 1}perceived_bothCab {c |}{col 20}{res}{space 2} .6117265{col 32}{space 2} .0267182{col 43}{space 1}   22.90{col 52}{space 3}0.000{col 60}{space 4} .5593598{col 73}{space 3} .6640932
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 5.040025{col 32}{space 2} .1358078{col 43}{space 1}   37.11{col 52}{space 3}0.000{col 60}{space 4} 4.773847{col 73}{space 3} 5.306204
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .5713808{col 44} .1440969{col 58} .3485464{col 70} .9366788
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3937208{col 44} .0219393{col 58} .3529855{col 70}  .439157
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.480911{col 44} .0289312{col 58} 4.424565{col 70} 4.537976
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5923.88{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est5{txt} stored)
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-109868.51}  
Iteration 1:{space 3}log likelihood = {res:-109868.51}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    50,032

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   50,032{col 50} 50,032.0{col 61}   50,032
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     29.0{col 61}       50
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  3852.93
{txt}Log likelihood = {res}-109868.51{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    coop{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}coopscore_meanhalf {c |}{col 26}{res}{space 2} .1277993{col 38}{space 2} .0237043{col 49}{space 1}    5.39{col 58}{space 3}0.000{col 66}{space 4} .0813397{col 79}{space 3} .1742589
{txt}{space 18}lrdist {c |}{col 26}{res}{space 2}-.2652763{col 38}{space 2} .0043059{col 49}{space 1}  -61.61{col 58}{space 3}0.000{col 66}{space 4}-.2737157{col 79}{space 3}-.2568369
{txt}percent_month120_bothCab {c |}{col 26}{res}{space 2} .0335473{col 38}{space 2} .0071235{col 49}{space 1}    4.71{col 58}{space 3}0.000{col 66}{space 4} .0195856{col 79}{space 3}  .047509
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 4.992402{col 38}{space 2} .1211705{col 49}{space 1}   41.20{col 58}{space 3}0.000{col 66}{space 4} 4.754912{col 79}{space 3} 5.229892
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .3962419{col 44} .1001514{col 58} .2414441{col 70} .6502859
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4107351{col 44} .0226719{col 58} .3686183{col 70}  .457664
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.523933{col 44} .0292094{col 58} 4.467044{col 70} 4.581546
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}4975.91{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
({res}est6{txt} stored)

{com}. /* Table A2.4 */
. 
. 
. set more off
{txt}
{com}. 
. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab percent_month120_bothCab{c -(}
{txt}  3{com}. 
. mixed coop coopscore_meanhalf_withzero ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221991.04}  
Iteration 1:{space 3}log likelihood = {res:-221991.04}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    39.05
{txt}Log likelihood = {res}-221991.04{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf_withzero {c |}{col 29}{res}{space 2} .0964205{col 41}{space 2} .0233041{col 52}{space 1}    4.14{col 61}{space 3}0.000{col 69}{space 4} .0507453{col 82}{space 3} .1420958
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0341257{col 41}{space 2} .0081393{col 52}{space 1}   -4.19{col 61}{space 3}0.000{col 69}{space 4}-.0500784{col 82}{space 3}-.0181729
{txt}{space 12}current_bothCab {c |}{col 29}{res}{space 2} 2.513855{col 41}{space 2}  1.27856{col 52}{space 1}    1.97{col 61}{space 3}0.049{col 69}{space 4} .0079239{col 82}{space 3} 5.019787
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.983038{col 41}{space 2}   .24192{col 52}{space 1}   20.60{col 61}{space 3}0.000{col 69}{space 4} 4.508884{col 82}{space 3} 5.457193
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.611877{col 44}   .24855{col 58} 1.191454{col 70} 2.180652
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3197355{col 44} .0163018{col 58} .2893291{col 70} .3533374
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.881027{col 44} .0221043{col 58} 4.837895{col 70} 4.924544
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}25112.29{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221344.97}  
Iteration 1:{space 3}log likelihood = {res:-221344.97}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  1342.16
{txt}Log likelihood = {res}-221344.97{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf_withzero {c |}{col 29}{res}{space 2} .0827863{col 41}{space 2} .0231518{col 52}{space 1}    3.58{col 61}{space 3}0.000{col 69}{space 4} .0374097{col 82}{space 3} .1281629
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0318999{col 41}{space 2} .0079436{col 52}{space 1}   -4.02{col 61}{space 3}0.000{col 69}{space 4}-.0474692{col 82}{space 3}-.0163307
{txt}{space 10}perceived_bothCab {c |}{col 29}{res}{space 2}  .764452{col 41}{space 2} .0211538{col 52}{space 1}   36.14{col 61}{space 3}0.000{col 69}{space 4} .7229914{col 82}{space 3} .8059126
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.802469{col 41}{space 2} .2356917{col 52}{space 1}   20.38{col 61}{space 3}0.000{col 69}{space 4} 4.340522{col 82}{space 3} 5.264417
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.534923{col 44} .2367222{col 58} 1.134517{col 70} 2.076646
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2980783{col 44}  .015411{col 58} .2693532{col 70} .3298667
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.821857{col 44} .0218364{col 58} 4.779248{col 70} 4.864846
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24523.49{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221982.62}  
Iteration 1:{space 3}log likelihood = {res:-221982.62}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    62.52
{txt}Log likelihood = {res}-221982.62{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf_withzero {c |}{col 29}{res}{space 2} .0956262{col 41}{space 2} .0232959{col 52}{space 1}    4.10{col 61}{space 3}0.000{col 69}{space 4} .0499672{col 82}{space 3} .1412853
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0286575{col 41}{space 2} .0074591{col 52}{space 1}   -3.84{col 61}{space 3}0.000{col 69}{space 4} -.043277{col 82}{space 3}-.0140379
{txt}{space 3}percent_month120_bothCab {c |}{col 29}{res}{space 2} .0509485{col 41}{space 2} .0105464{col 52}{space 1}    4.83{col 61}{space 3}0.000{col 69}{space 4} .0302781{col 82}{space 3}  .071619
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.681446{col 41}{space 2} .2292624{col 52}{space 1}   20.42{col 61}{space 3}0.000{col 69}{space 4}   4.2321{col 82}{space 3} 5.130792
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.320991{col 44} .2038655{col 58}  .976193{col 70} 1.787573
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}  .319723{col 44} .0163012{col 58} .2893177{col 70} .3533238
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.881029{col 44} .0221044{col 58} 4.837897{col 70} 4.924545
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}22649.94{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-189130.74}  
Iteration 1:{space 3}log likelihood = {res:-189130.74}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  7948.52
{txt}Log likelihood = {res}-189130.74{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf_withzero {c |}{col 29}{res}{space 2} .1286188{col 41}{space 2} .0232379{col 52}{space 1}    5.53{col 61}{space 3}0.000{col 69}{space 4} .0830733{col 82}{space 3} .1741643
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2}-.2817886{col 41}{space 2} .0031669{col 52}{space 1}  -88.98{col 61}{space 3}0.000{col 69}{space 4}-.2879957{col 82}{space 3}-.2755815
{txt}{space 12}current_bothCab {c |}{col 29}{res}{space 2} 2.117498{col 41}{space 2} 1.108495{col 52}{space 1}    1.91{col 61}{space 3}0.056{col 69}{space 4}-.0551117{col 82}{space 3} 4.290108
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 5.109898{col 41}{space 2} .1217683{col 52}{space 1}   41.96{col 61}{space 3}0.000{col 69}{space 4} 4.871236{col 82}{space 3} 5.348559
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.210943{col 44} .1870496{col 58}  .894627{col 70}   1.6391
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3239285{col 44}   .01659{col 58} .2929914{col 70} .3581323
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.369911{col 44} .0212148{col 58} 4.328528{col 70}  4.41169
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}18469.45{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188616.89}  
Iteration 1:{space 3}log likelihood = {res:-188616.89}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  9078.08
{txt}Log likelihood = {res}-188616.89{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf_withzero {c |}{col 29}{res}{space 2} .1257241{col 41}{space 2}  .023093{col 52}{space 1}    5.44{col 61}{space 3}0.000{col 69}{space 4} .0804626{col 82}{space 3} .1709855
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2}-.2739703{col 41}{space 2} .0031579{col 52}{space 1}  -86.76{col 61}{space 3}0.000{col 69}{space 4}-.2801596{col 82}{space 3}-.2677809
{txt}{space 10}perceived_bothCab {c |}{col 29}{res}{space 2} .6689119{col 41}{space 2} .0207533{col 52}{space 1}   32.23{col 61}{space 3}0.000{col 69}{space 4} .6282362{col 82}{space 3} .7095875
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.967826{col 41}{space 2} .1172143{col 52}{space 1}   42.38{col 61}{space 3}0.000{col 69}{space 4}  4.73809{col 82}{space 3} 5.197561
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.132118{col 44} .1749471{col 58} .8362861{col 70} 1.532599
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3039006{col 44} .0157495{col 58}  .274548{col 70} .3363912
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.322135{col 44} .0209824{col 58} 4.281205{col 70} 4.363456
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}17636.52{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-189119.97}  
Iteration 1:{space 3}log likelihood = {res:-189119.97}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  7989.88
{txt}Log likelihood = {res}-189119.97{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanhalf_withzero {c |}{col 29}{res}{space 2} .1273681{col 41}{space 2} .0232241{col 52}{space 1}    5.48{col 61}{space 3}0.000{col 69}{space 4} .0818497{col 82}{space 3} .1728866
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2}-.2818174{col 41}{space 2} .0031666{col 52}{space 1}  -89.00{col 61}{space 3}0.000{col 69}{space 4}-.2880238{col 82}{space 3} -.275611
{txt}{space 3}percent_month120_bothCab {c |}{col 29}{res}{space 2} .0475087{col 41}{space 2} .0087943{col 52}{space 1}    5.40{col 61}{space 3}0.000{col 69}{space 4} .0302722{col 82}{space 3} .0647452
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.949724{col 41}{space 2} .1124026{col 52}{space 1}   44.04{col 61}{space 3}0.000{col 69}{space 4} 4.729419{col 82}{space 3} 5.170029
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .9387108{col 44} .1451976{col 58} .6932181{col 70} 1.271141
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3239086{col 44} .0165891{col 58} .2929731{col 70} .3581105
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.369914{col 44} .0212148{col 58} 4.328531{col 70} 4.411693
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}16083.46{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. /* Table A2.5 */
. 
. 
. set more off
{txt}
{com}. 
. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in percent_month240_bothCab percent_month360_bothCab{c -(}
{txt}  3{com}. 
. mixed coop coopscore_meanfull ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-152219.46}  
Iteration 1:{space 3}log likelihood = {res:-152219.46}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    68,124

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   68,124{col 50} 68,124.0{col 61}   68,124
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     39.5{col 61}       67
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    63.22
{txt}Log likelihood = {res}-152219.46{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    coop{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}coopscore_meanfull {c |}{col 26}{res}{space 2} .1896686{col 38}{space 2} .0272437{col 49}{space 1}    6.96{col 58}{space 3}0.000{col 66}{space 4} .1362719{col 79}{space 3} .2430652
{txt}{space 13}mf_df_rile1 {c |}{col 26}{res}{space 2} -.033234{col 38}{space 2} .0094551{col 49}{space 1}   -3.51{col 58}{space 3}0.000{col 66}{space 4}-.0517657{col 79}{space 3}-.0147023
{txt}percent_month240_bothCab {c |}{col 26}{res}{space 2} .0069438{col 38}{space 2} .0078735{col 49}{space 1}    0.88{col 58}{space 3}0.378{col 66}{space 4} -.008488{col 79}{space 3} .0223757
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 5.159131{col 38}{space 2} .2537174{col 49}{space 1}   20.33{col 58}{space 3}0.000{col 66}{space 4} 4.661854{col 79}{space 3} 5.656408
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .8091138{col 44} .2352789{col 58} .4576064{col 70} 1.430629
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}  .387193{col 44}  .020534{col 58} .3489681{col 70} .4296049
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.925534{col 44} .0271112{col 58} 4.872682{col 70} 4.978958
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}6089.76{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-152215.36}  
Iteration 1:{space 3}log likelihood = {res:-152215.36}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    68,124

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   68,124{col 50} 68,124.0{col 61}   68,124
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     39.5{col 61}       67
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    80.47
{txt}Log likelihood = {res}-152215.36{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    coop{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}coopscore_meanfull {c |}{col 26}{res}{space 2}  .191936{col 38}{space 2} .0272162{col 49}{space 1}    7.05{col 58}{space 3}0.000{col 66}{space 4} .1385932{col 79}{space 3} .2452789
{txt}{space 13}mf_df_rile1 {c |}{col 26}{res}{space 2} -.027971{col 38}{space 2} .0083104{col 49}{space 1}   -3.37{col 58}{space 3}0.001{col 66}{space 4}-.0442591{col 79}{space 3}-.0116829
{txt}percent_month360_bothCab {c |}{col 26}{res}{space 2} .0287765{col 38}{space 2} .0081614{col 49}{space 1}    3.53{col 58}{space 3}0.000{col 66}{space 4} .0127804{col 79}{space 3} .0447727
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}  4.92924{col 38}{space 2}  .226529{col 49}{space 1}   21.76{col 58}{space 3}0.000{col 66}{space 4} 4.485251{col 79}{space 3} 5.373229
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .6095281{col 44}  .147364{col 58} .3794906{col 70} .9790085
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3871792{col 44} .0205335{col 58} .3489552{col 70} .4295902
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.925763{col 44} .0271082{col 58} 4.872917{col 70} 4.979181
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}6419.52{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-124898.97}  
Iteration 1:{space 3}log likelihood = {res:-124898.97}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    57,048

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   57,048{col 50} 57,048.0{col 61}   57,048
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     33.1{col 61}       61
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  4293.72
{txt}Log likelihood = {res}-124898.97{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    coop{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}coopscore_meanfull {c |}{col 26}{res}{space 2}  .230578{col 38}{space 2} .0313803{col 49}{space 1}    7.35{col 58}{space 3}0.000{col 66}{space 4} .1690737{col 79}{space 3} .2920822
{txt}{space 18}lrdist {c |}{col 26}{res}{space 2}-.2600385{col 38}{space 2} .0040001{col 49}{space 1}  -65.01{col 58}{space 3}0.000{col 66}{space 4}-.2678784{col 79}{space 3}-.2521985
{txt}percent_month240_bothCab {c |}{col 26}{res}{space 2} .0072788{col 38}{space 2} .0074294{col 49}{space 1}    0.98{col 58}{space 3}0.327{col 66}{space 4}-.0072825{col 79}{space 3} .0218402
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 5.232274{col 38}{space 2} .1434034{col 49}{space 1}   36.49{col 58}{space 3}0.000{col 66}{space 4} 4.951208{col 79}{space 3} 5.513339
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .7374599{col 44} .2209683{col 58} .4099107{col 70} 1.326745
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}  .364167{col 44} .0203448{col 58} .3263975{col 70}  .406307
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.483997{col 44} .0270605{col 58} 4.431272{col 70} 4.537349
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5205.56{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:   -124894}  
Iteration 1:{space 3}log likelihood = {res:   -124894}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    57,048

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   57,048{col 50} 57,048.0{col 61}   57,048
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     33.1{col 61}       61
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  4317.75
{txt}Log likelihood = {res}   -124894{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    coop{col 26}{c |} Coefficient{col 38}  Std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}coopscore_meanfull {c |}{col 26}{res}{space 2} .2331152{col 38}{space 2} .0313028{col 49}{space 1}    7.45{col 58}{space 3}0.000{col 66}{space 4} .1717629{col 79}{space 3} .2944675
{txt}{space 18}lrdist {c |}{col 26}{res}{space 2} -.260051{col 38}{space 2} .0039996{col 49}{space 1}  -65.02{col 58}{space 3}0.000{col 66}{space 4}-.2678901{col 79}{space 3}-.2522119
{txt}percent_month360_bothCab {c |}{col 26}{res}{space 2} .0296293{col 38}{space 2} .0074708{col 49}{space 1}    3.97{col 58}{space 3}0.000{col 66}{space 4} .0149868{col 79}{space 3} .0442719
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}  5.10938{col 38}{space 2} .1241891{col 49}{space 1}   41.14{col 58}{space 3}0.000{col 66}{space 4} 4.865974{col 79}{space 3} 5.352787
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .5297162{col 44} .1279977{col 58} .3298858{col 70} .8505952
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3641683{col 44} .0203449{col 58} .3263986{col 70} .4063086
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.484253{col 44} .0270559{col 58} 4.431536{col 70} 4.537596
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5695.70{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. /* Table A2.6 */
. 
. set more off
{txt}
{com}. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab_v2 perceived_bothCab_v2 ///
>  percent_month120_bothCab_v2{c -(}
{txt}  3{com}. 
. mixed coop coopscore_meanfull ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-152216.37}  
Iteration 1:{space 3}log likelihood = {res:-152216.37}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    68,124

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   68,124{col 50} 68,124.0{col 61}   68,124
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     39.5{col 61}       67
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}    70.32
{txt}Log likelihood = {res}-152216.37{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              coop{col 20}{c |} Coefficient{col 32}  Std. err.{col 44}      z{col 52}   P>|z|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull {c |}{col 20}{res}{space 2} .1865055{col 32}{space 2} .0272588{col 43}{space 1}    6.84{col 52}{space 3}0.000{col 60}{space 4} .1330793{col 73}{space 3} .2399318
{txt}{space 7}mf_df_rile1 {c |}{col 20}{res}{space 2}-.0316508{col 32}{space 2} .0092027{col 43}{space 1}   -3.44{col 52}{space 3}0.001{col 60}{space 4}-.0496877{col 73}{space 3}-.0136139
{txt}current_bothCab_v2 {c |}{col 20}{res}{space 2} 1.738108{col 32}{space 2} .6481453{col 43}{space 1}    2.68{col 52}{space 3}0.007{col 60}{space 4} .4677669{col 73}{space 3}  3.00845
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 5.076872{col 32}{space 2} .2437121{col 43}{space 1}   20.83{col 52}{space 3}0.000{col 60}{space 4} 4.599205{col 73}{space 3} 5.554539
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .7780289{col 44} .1758536{col 58} .4995779{col 70} 1.211681
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3872319{col 44} .0205353{col 58} .3490045{col 70} .4296464
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.925185{col 44} .0271039{col 58} 4.872348{col 70} 4.978595
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}7398.22{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-151893.49}  
Iteration 1:{space 3}log likelihood = {res:-151893.49}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    68,124

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   68,124{col 50} 68,124.0{col 61}   68,124
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     39.5{col 61}       67
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}   717.54
{txt}Log likelihood = {res}-151893.49{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                coop{col 22}{c |} Coefficient{col 34}  Std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}coopscore_meanfull {c |}{col 22}{res}{space 2} .1879299{col 34}{space 2} .0271244{col 45}{space 1}    6.93{col 54}{space 3}0.000{col 62}{space 4} .1347671{col 75}{space 3} .2410927
{txt}{space 9}mf_df_rile1 {c |}{col 22}{res}{space 2}-.0345183{col 34}{space 2} .0097028{col 45}{space 1}   -3.56{col 54}{space 3}0.000{col 62}{space 4}-.0535354{col 75}{space 3}-.0155011
{txt}perceived_bothCab_v2 {c |}{col 22}{res}{space 2} .6543826{col 34}{space 2} .0255495{col 45}{space 1}   25.61{col 54}{space 3}0.000{col 62}{space 4} .6043066{col 75}{space 3} .7044586
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 5.127389{col 34}{space 2} .2519417{col 45}{space 1}   20.35{col 54}{space 3}0.000{col 62}{space 4} 4.633592{col 75}{space 3} 5.621186
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .8786629{col 44} .1983422{col 58} .5645196{col 70} 1.367621
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3702346{col 44} .0198144{col 58} .3333666{col 70}   .41118
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.881445{col 44} .0268627{col 58} 4.829078{col 70} 4.934379
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}7611.55{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-152200.09}  
Iteration 1:{space 3}log likelihood = {res:-152200.09}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    68,124

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   68,124{col 50} 68,124.0{col 61}   68,124
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     39.5{col 61}       67
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}   151.24
{txt}Log likelihood = {res}-152200.09{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}coopscore_meanfull {c |}{col 29}{res}{space 2}  .183379{col 41}{space 2} .0271813{col 52}{space 1}    6.75{col 61}{space 3}0.000{col 69}{space 4} .1301046{col 82}{space 3} .2366535
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0301438{col 41}{space 2} .0061207{col 52}{space 1}   -4.92{col 61}{space 3}0.000{col 69}{space 4}-.0421401{col 82}{space 3}-.0181475
{txt}percent_month120_bothCab_v2 {c |}{col 29}{res}{space 2} .0418689{col 41}{space 2} .0051626{col 52}{space 1}    8.11{col 61}{space 3}0.000{col 69}{space 4} .0317504{col 82}{space 3} .0519875
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.787508{col 41}{space 2} .1677569{col 52}{space 1}   28.54{col 61}{space 3}0.000{col 69}{space 4} 4.458711{col 82}{space 3} 5.116306
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .3441163{col 44} .0779265{col 58} .2207738{col 70} .5363684
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}  .387229{col 44} .0205346{col 58}  .349003{col 70}  .429642
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.925168{col 44} .0271037{col 58} 4.872331{col 70} 4.978577
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5999.05{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-124895.51}  
Iteration 1:{space 3}log likelihood = {res:-124895.51}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    57,048

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   57,048{col 50} 57,048.0{col 61}   57,048
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     33.1{col 61}       61
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  4302.30
{txt}Log likelihood = {res}-124895.51{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              coop{col 20}{c |} Coefficient{col 32}  Std. err.{col 44}      z{col 52}   P>|z|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull {c |}{col 20}{res}{space 2} .2258046{col 32}{space 2} .0314067{col 43}{space 1}    7.19{col 52}{space 3}0.000{col 60}{space 4} .1642486{col 73}{space 3} .2873606
{txt}{space 12}lrdist {c |}{col 20}{res}{space 2}-.2600451{col 32}{space 2} .0039996{col 43}{space 1}  -65.02{col 52}{space 3}0.000{col 60}{space 4}-.2678841{col 73}{space 3}-.2522061
{txt}current_bothCab_v2 {c |}{col 20}{res}{space 2} 1.754945{col 32}{space 2}  .614418{col 43}{space 1}    2.86{col 52}{space 3}0.004{col 60}{space 4} .5507077{col 73}{space 3} 2.959182
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 5.184036{col 32}{space 2}  .138482{col 43}{space 1}   37.43{col 52}{space 3}0.000{col 60}{space 4} 4.912617{col 73}{space 3} 5.455456
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33}  .709153{col 44} .1602169{col 58} .4554392{col 70} 1.104204
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}  .364213{col 44} .0203463{col 58} .3264406{col 70}  .406356
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.483555{col 44} .0270504{col 58} 4.430849{col 70} 4.536887
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}6759.43{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-124621.53}  
Iteration 1:{space 3}log likelihood = {res:-124621.53}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    57,048

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   57,048{col 50} 57,048.0{col 61}   57,048
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     33.1{col 61}       61
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  4890.24
{txt}Log likelihood = {res}-124621.53{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                coop{col 22}{c |} Coefficient{col 34}  Std. err.{col 46}      z{col 54}   P>|z|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}coopscore_meanfull {c |}{col 22}{res}{space 2} .2295102{col 34}{space 2}  .031254{col 45}{space 1}    7.34{col 54}{space 3}0.000{col 62}{space 4} .1682536{col 75}{space 3} .2907669
{txt}{space 14}lrdist {c |}{col 22}{res}{space 2}-.2536489{col 34}{space 2} .0039897{col 45}{space 1}  -63.58{col 54}{space 3}0.000{col 62}{space 4}-.2614686{col 75}{space 3}-.2458292
{txt}perceived_bothCab_v2 {c |}{col 22}{res}{space 2} .6024227{col 34}{space 2} .0254927{col 45}{space 1}   23.63{col 54}{space 3}0.000{col 62}{space 4}  .552458{col 75}{space 3} .6523874
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  5.15757{col 34}{space 2} .1455764{col 45}{space 1}   35.43{col 54}{space 3}0.000{col 62}{space 4} 4.872246{col 75}{space 3} 5.442895
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .8269996{col 44} .1866384{col 58} .5313797{col 70}  1.28708
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3495921{col 44} .0196836{col 58} .3130654{col 70} .3903805
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.443043{col 44} .0268044{col 58} 4.390817{col 70} 4.495891
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}7026.58{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-124882.78}  
Iteration 1:{space 3}log likelihood = {res:-124882.78}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    57,048

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   57,048{col 50} 57,048.0{col 61}   57,048
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     33.1{col 61}       61
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}3{txt}){col 67}={col 70}{res}  4367.24
{txt}Log likelihood = {res}-124882.78{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}coopscore_meanfull {c |}{col 29}{res}{space 2}  .220722{col 41}{space 2}  .031264{col 52}{space 1}    7.06{col 61}{space 3}0.000{col 69}{space 4} .1594456{col 82}{space 3} .2819983
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2} -.260075{col 41}{space 2} .0039985{col 52}{space 1}  -65.04{col 61}{space 3}0.000{col 69}{space 4}-.2679119{col 82}{space 3}-.2522381
{txt}percent_month120_bothCab_v2 {c |}{col 29}{res}{space 2} .0381326{col 41}{space 2} .0053588{col 52}{space 1}    7.12{col 61}{space 3}0.000{col 69}{space 4} .0276295{col 82}{space 3} .0486358
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.957337{col 41}{space 2} .1086926{col 52}{space 1}   45.61{col 61}{space 3}0.000{col 69}{space 4} 4.744303{col 82}{space 3}  5.17037
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .3743448{col 44} .0847924{col 58} .2401414{col 70}  .583548
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3642283{col 44} .0203467{col 58} .3264551{col 70} .4063723
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.483539{col 44} .0270502{col 58} 4.430834{col 70} 4.536871
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5395.83{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. /* Table A2.8 */
. 
. /* create group based on habitual news reception where
> 1=low, 2=medium, 3=high */
. 
. capture drop pk_group
{txt}
{com}. gen pk_group=1 if sumpk<3 & (countryyear==1|countryyear==2)
{txt}(146,652 missing values generated)

{com}. replace pk_group=2 if (sumpk==3|sumpk==4) & (countryyear==1|countryyear==2)
{txt}(8,220 real changes made)

{com}. replace pk_group=3 if sumpk>4  & (countryyear==1|countryyear==2)
{txt}(7,410 real changes made)

{com}. 
. replace pk_group=1 if sumpk<4 & countryyear==3
{txt}(19,575 real changes made)

{com}. replace pk_group=2 if sumpk==4 & countryyear==3
{txt}(13,455 real changes made)

{com}. replace pk_group=3 if sumpk>4 & countryyear==3
{txt}(24,480 real changes made)

{com}. 
. replace pk_group=1 if sumpk<2 & countryyear==4
{txt}(3,555 real changes made)

{com}. replace pk_group=2 if (sumpk==2|sumpk==3) & countryyear==4
{txt}(6,075 real changes made)

{com}. replace pk_group=3 if sumpk>3 & countryyear==4
{txt}(5,985 real changes made)

{com}. 
. replace pk_group=1 if sumpk<3 & countryyear==5
{txt}(7,200 real changes made)

{com}. replace pk_group=2 if (sumpk==3|sumpk==4) & countryyear==5
{txt}(8,730 real changes made)

{com}. replace pk_group=3 if sumpk>4 & countryyear==5
{txt}(14,415 real changes made)

{com}. 
. replace pk_group=1 if sumpk<3 & countryyear==6
{txt}(4,509 real changes made)

{com}. replace pk_group=2 if (sumpk==3|sumpk==4) & countryyear==6
{txt}(5,454 real changes made)

{com}. replace pk_group=3 if sumpk>4 & countryyear==6
{txt}(2,664 real changes made)

{com}. 
. replace pk_group=1 if sumpk<2 & countryyear==7
{txt}(4,140 real changes made)

{com}. replace pk_group=2 if (sumpk==2|sumpk==3) & countryyear==7
{txt}(6,645 real changes made)

{com}. replace pk_group=3 if sumpk>3 & countryyear==7
{txt}(4,140 real changes made)

{com}. 
. set more off
{txt}
{com}. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab ///
>  percent_month120_bothCab{c -(}
{txt}  3{com}. 
. mixed coop c.coopscore_meanfull_withzero##pk_group ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221243.48}  
Iteration 1:{space 3}log likelihood = {res:-221243.48}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1547.89
{txt}Log likelihood = {res}-221243.48{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_withzero {c |}{col 40}{res}{space 2} .0261998{col 52}{space 2} .0375267{col 63}{space 1}    0.70{col 72}{space 3}0.485{col 80}{space 4}-.0473512{col 93}{space 3} .0997508
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.4479682{col 52}{space 2} .0191567{col 63}{space 1}  -23.38{col 72}{space 3}0.000{col 80}{space 4}-.4855147{col 93}{space 3}-.4104218
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.7212151{col 52}{space 2} .0190629{col 63}{space 1}  -37.83{col 72}{space 3}0.000{col 80}{space 4}-.7585776{col 93}{space 3}-.6838526
{txt}{space 38} {c |}
pk_group#c.coopscore_meanfull_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1462455{col 52}{space 2} .0399025{col 63}{space 1}    3.67{col 72}{space 3}0.000{col 80}{space 4} .0680381{col 93}{space 3} .2244529
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .2750731{col 52}{space 2} .0402189{col 63}{space 1}    6.84{col 72}{space 3}0.000{col 80}{space 4} .1962455{col 93}{space 3} .3539007
{txt}{space 38} {c |}
{space 27}mf_df_rile1 {c |}{col 40}{res}{space 2}-.0338131{col 52}{space 2} .0081102{col 63}{space 1}   -4.17{col 72}{space 3}0.000{col 80}{space 4}-.0497088{col 93}{space 3}-.0179173
{txt}{space 23}current_bothCab {c |}{col 40}{res}{space 2} 2.334369{col 52}{space 2} 1.274596{col 63}{space 1}    1.83{col 72}{space 3}0.067{col 80}{space 4}-.1637938{col 93}{space 3} 4.832532
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.386399{col 52}{space 2}  .241295{col 63}{space 1}   22.32{col 72}{space 3}0.000{col 80}{space 4} 4.913469{col 93}{space 3} 5.859329
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.600412{col 44} .2467849{col 58} 1.182976{col 70} 2.165149
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2924358{col 44} .0151463{col 58} .2642066{col 70} .3236812
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.812913{col 44} .0217948{col 58} 4.770385{col 70}  4.85582
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24712.78{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220716.34}  
Iteration 1:{space 3}log likelihood = {res:-220716.34}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  2628.21
{txt}Log likelihood = {res}-220716.34{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_withzero {c |}{col 40}{res}{space 2} .0463643{col 52}{space 2} .0373269{col 63}{space 1}    1.24{col 72}{space 3}0.214{col 80}{space 4}-.0267951{col 93}{space 3} .1195236
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.4204673{col 52}{space 2} .0190604{col 63}{space 1}  -22.06{col 72}{space 3}0.000{col 80}{space 4}-.4578249{col 93}{space 3}-.3831096
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.6570485{col 52}{space 2} .0190495{col 63}{space 1}  -34.49{col 72}{space 3}0.000{col 80}{space 4}-.6943849{col 93}{space 3} -.619712
{txt}{space 38} {c |}
pk_group#c.coopscore_meanfull_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1343798{col 52}{space 2} .0397027{col 63}{space 1}    3.38{col 72}{space 3}0.001{col 80}{space 4} .0565639{col 93}{space 3} .2121958
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .2357198{col 52}{space 2} .0400337{col 63}{space 1}    5.89{col 72}{space 3}0.000{col 80}{space 4} .1572552{col 93}{space 3} .3141845
{txt}{space 38} {c |}
{space 27}mf_df_rile1 {c |}{col 40}{res}{space 2}-.0318268{col 52}{space 2} .0079194{col 63}{space 1}   -4.02{col 72}{space 3}0.000{col 80}{space 4}-.0473485{col 93}{space 3}-.0163051
{txt}{space 21}perceived_bothCab {c |}{col 40}{res}{space 2} .6895951{col 52}{space 2} .0211397{col 63}{space 1}   32.62{col 72}{space 3}0.000{col 80}{space 4} .6481621{col 93}{space 3}  .731028
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.191906{col 52}{space 2} .2352532{col 63}{space 1}   22.07{col 72}{space 3}0.000{col 80}{space 4} 4.730818{col 93}{space 3} 5.652994
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.525592{col 44} .2353055{col 58} 1.127587{col 70} 2.064081
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2774228{col 44} .0145296{col 58} .2503582{col 70} .3074133
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.764969{col 44} .0215779{col 58} 4.722864{col 70} 4.807449
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}23794.98{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221235.21}  
Iteration 1:{space 3}log likelihood = {res:-221235.21}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1571.06
{txt}Log likelihood = {res}-221235.21{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_withzero {c |}{col 40}{res}{space 2} .0246877{col 52}{space 2} .0375162{col 63}{space 1}    0.66{col 72}{space 3}0.511{col 80}{space 4}-.0488428{col 93}{space 3} .0982182
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.4480059{col 52}{space 2} .0191566{col 63}{space 1}  -23.39{col 72}{space 3}0.000{col 80}{space 4}-.4855521{col 93}{space 3}-.4104597
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.7212582{col 52}{space 2} .0190628{col 63}{space 1}  -37.84{col 72}{space 3}0.000{col 80}{space 4}-.7586205{col 93}{space 3}-.6838958
{txt}{space 38} {c |}
pk_group#c.coopscore_meanfull_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1462451{col 52}{space 2} .0399025{col 63}{space 1}    3.67{col 72}{space 3}0.000{col 80}{space 4} .0680377{col 93}{space 3} .2244525
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .2749762{col 52}{space 2} .0402186{col 63}{space 1}    6.84{col 72}{space 3}0.000{col 80}{space 4} .1961492{col 93}{space 3} .3538033
{txt}{space 38} {c |}
{space 27}mf_df_rile1 {c |}{col 40}{res}{space 2} -.028473{col 52}{space 2} .0074457{col 63}{space 1}   -3.82{col 72}{space 3}0.000{col 80}{space 4}-.0430664{col 93}{space 3}-.0138796
{txt}{space 14}percent_month120_bothCab {c |}{col 40}{res}{space 2} .0497581{col 52}{space 2} .0105308{col 63}{space 1}    4.73{col 72}{space 3}0.000{col 80}{space 4} .0291181{col 93}{space 3}  .070398
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.090499{col 52}{space 2} .2291011{col 63}{space 1}   22.22{col 72}{space 3}0.000{col 80}{space 4} 4.641469{col 93}{space 3} 5.539529
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.316348{col 44} .2031471{col 58} .9727646{col 70} 1.781285
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2924289{col 44}  .015146{col 58} .2642003{col 70} .3236736
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.812913{col 44} .0217948{col 58} 4.770385{col 70}  4.85582
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}22416.63{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188669.74}  
Iteration 1:{space 3}log likelihood = {res:-188669.74}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  8957.56
{txt}Log likelihood = {res}-188669.74{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_withzero {c |}{col 40}{res}{space 2} .0603368{col 52}{space 2} .0399515{col 63}{space 1}    1.51{col 72}{space 3}0.131{col 80}{space 4}-.0179666{col 93}{space 3} .1386403
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.3340733{col 52}{space 2} .0200005{col 63}{space 1}  -16.70{col 72}{space 3}0.000{col 80}{space 4}-.3732735{col 93}{space 3}-.2948731
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.5766493{col 52}{space 2} .0196386{col 63}{space 1}  -29.36{col 72}{space 3}0.000{col 80}{space 4}-.6151402{col 93}{space 3}-.5381584
{txt}{space 38} {c |}
pk_group#c.coopscore_meanfull_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1536889{col 52}{space 2} .0382811{col 63}{space 1}    4.01{col 72}{space 3}0.000{col 80}{space 4} .0786593{col 93}{space 3} .2287185
{txt}{space 36}3  {c |}{col 40}{res}{space 2}  .289508{col 52}{space 2} .0384693{col 63}{space 1}    7.53{col 72}{space 3}0.000{col 80}{space 4} .2141095{col 93}{space 3} .3649065
{txt}{space 38} {c |}
{space 32}lrdist {c |}{col 40}{res}{space 2}-.2738953{col 52}{space 2} .0031615{col 63}{space 1}  -86.64{col 72}{space 3}0.000{col 80}{space 4}-.2800917{col 93}{space 3} -.267699
{txt}{space 23}current_bothCab {c |}{col 40}{res}{space 2} 1.897007{col 52}{space 2} 1.111642{col 63}{space 1}    1.71{col 72}{space 3}0.088{col 80}{space 4}-.2817714{col 93}{space 3} 4.075785
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.408461{col 52}{space 2} .1224345{col 63}{space 1}   44.17{col 72}{space 3}0.000{col 80}{space 4} 5.168494{col 93}{space 3} 5.648428
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.215509{col 44} .1877532{col 58} .8980024{col 70} 1.645276
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3009365{col 44} .0156362{col 58} .2717989{col 70} .3331977
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.327782{col 44} .0210096{col 58} 4.286799{col 70} 4.369157
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}18202.36{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188242.27}  
Iteration 1:{space 3}log likelihood = {res:-188242.27}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  9908.77
{txt}Log likelihood = {res}-188242.27{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_withzero {c |}{col 40}{res}{space 2}  .081162{col 52}{space 2} .0397343{col 63}{space 1}    2.04{col 72}{space 3}0.041{col 80}{space 4} .0032841{col 93}{space 3} .1590398
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.3077886{col 52}{space 2} .0199077{col 63}{space 1}  -15.46{col 72}{space 3}0.000{col 80}{space 4}-.3468069{col 93}{space 3}-.2687703
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.5172328{col 52}{space 2} .0196312{col 63}{space 1}  -26.35{col 72}{space 3}0.000{col 80}{space 4}-.5557093{col 93}{space 3}-.4787563
{txt}{space 38} {c |}
pk_group#c.coopscore_meanfull_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1419963{col 52}{space 2} .0381051{col 63}{space 1}    3.73{col 72}{space 3}0.000{col 80}{space 4} .0673116{col 93}{space 3}  .216681
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .2535955{col 52}{space 2} .0383096{col 63}{space 1}    6.62{col 72}{space 3}0.000{col 80}{space 4} .1785102{col 93}{space 3} .3286808
{txt}{space 38} {c |}
{space 32}lrdist {c |}{col 40}{res}{space 2}-.2675176{col 52}{space 2} .0031536{col 63}{space 1}  -84.83{col 72}{space 3}0.000{col 80}{space 4}-.2736986{col 93}{space 3}-.2613365
{txt}{space 21}perceived_bothCab {c |}{col 40}{res}{space 2} .6105801{col 52}{space 2} .0207848{col 63}{space 1}   29.38{col 72}{space 3}0.000{col 80}{space 4} .5698427{col 93}{space 3} .6513175
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.249796{col 52}{space 2}  .117946{col 63}{space 1}   44.51{col 72}{space 3}0.000{col 80}{space 4} 5.018626{col 93}{space 3} 5.480965
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.136299{col 44} .1756134{col 58} .8393454{col 70} 1.538313
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2867201{col 44} .0150323{col 58} .2587206{col 70} .3177498
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.288103{col 44} .0208166{col 58} 4.247496{col 70} 4.329097
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}17208.56{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188659.36}  
Iteration 1:{space 3}log likelihood = {res:-188659.36}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  8997.11
{txt}Log likelihood = {res}-188659.36{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_withzero {c |}{col 40}{res}{space 2} .0569525{col 52}{space 2} .0399192{col 63}{space 1}    1.43{col 72}{space 3}0.154{col 80}{space 4}-.0212877{col 93}{space 3} .1351927
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.3341564{col 52}{space 2} .0200002{col 63}{space 1}  -16.71{col 72}{space 3}0.000{col 80}{space 4}-.3733561{col 93}{space 3}-.2949568
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.5766946{col 52}{space 2} .0196385{col 63}{space 1}  -29.37{col 72}{space 3}0.000{col 80}{space 4}-.6151853{col 93}{space 3}-.5382039
{txt}{space 38} {c |}
pk_group#c.coopscore_meanfull_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1536864{col 52}{space 2} .0382811{col 63}{space 1}    4.01{col 72}{space 3}0.000{col 80}{space 4} .0786568{col 93}{space 3} .2287159
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .2894044{col 52}{space 2}  .038469{col 63}{space 1}    7.52{col 72}{space 3}0.000{col 80}{space 4} .2140065{col 93}{space 3} .3648023
{txt}{space 38} {c |}
{space 32}lrdist {c |}{col 40}{res}{space 2}-.2739247{col 52}{space 2} .0031611{col 63}{space 1}  -86.65{col 72}{space 3}0.000{col 80}{space 4}-.2801204{col 93}{space 3}-.2677289
{txt}{space 14}percent_month120_bothCab {c |}{col 40}{res}{space 2} .0461949{col 52}{space 2} .0088569{col 63}{space 1}    5.22{col 72}{space 3}0.000{col 80}{space 4} .0288356{col 93}{space 3} .0635541
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.250901{col 52}{space 2} .1135834{col 63}{space 1}   46.23{col 72}{space 3}0.000{col 80}{space 4} 5.028281{col 93}{space 3}  5.47352
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .9509183{col 44} .1470813{col 58} .7022398{col 70} 1.287659
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3009306{col 44} .0156359{col 58} .2717935{col 70} .3331912
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.327782{col 44} .0210096{col 58} 4.286799{col 70} 4.369157
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}15955.45{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. /* Table A2.9 */
. 
. set more off
{txt}
{com}. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab ///
>  percent_month120_bothCab{c -(}
{txt}  3{com}. 
. mixed coop c.coopscore_meanfull_avg##pk_group ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221256.71}  
Iteration 1:{space 3}log likelihood = {res:-221256.71}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1520.85
{txt}Log likelihood = {res}-221256.71{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                             coop{col 35}{c |} Coefficient{col 47}  Std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_avg {c |}{col 35}{res}{space 2} .0736869{col 47}{space 2} .0373234{col 58}{space 1}    1.97{col 67}{space 3}0.048{col 75}{space 4} .0005344{col 88}{space 3} .1468394
{txt}{space 33} {c |}
{space 25}pk_group {c |}
{space 31}2  {c |}{col 35}{res}{space 2}-.4493413{col 47}{space 2} .0191766{col 58}{space 1}  -23.43{col 67}{space 3}0.000{col 75}{space 4}-.4869268{col 88}{space 3}-.4117559
{txt}{space 31}3  {c |}{col 35}{res}{space 2}-.7228423{col 47}{space 2} .0191017{col 58}{space 1}  -37.84{col 67}{space 3}0.000{col 75}{space 4}-.7602809{col 88}{space 3}-.6854037
{txt}{space 33} {c |}
pk_group#c.coopscore_meanfull_avg {c |}
{space 31}2  {c |}{col 35}{res}{space 2} .1054675{col 47}{space 2} .0394841{col 58}{space 1}    2.67{col 67}{space 3}0.008{col 75}{space 4} .0280802{col 88}{space 3} .1828549
{txt}{space 31}3  {c |}{col 35}{res}{space 2} .1797529{col 47}{space 2} .0398157{col 58}{space 1}    4.51{col 67}{space 3}0.000{col 75}{space 4} .1017156{col 88}{space 3} .2577903
{txt}{space 33} {c |}
{space 22}mf_df_rile1 {c |}{col 35}{res}{space 2}-.0338021{col 47}{space 2} .0081471{col 58}{space 1}   -4.15{col 67}{space 3}0.000{col 75}{space 4}-.0497702{col 88}{space 3} -.017834
{txt}{space 18}current_bothCab {c |}{col 35}{res}{space 2} 2.349954{col 47}{space 2} 1.280398{col 58}{space 1}    1.84{col 67}{space 3}0.066{col 75}{space 4}-.1595796{col 88}{space 3} 4.859487
{txt}{space 28}_cons {c |}{col 35}{res}{space 2} 5.385749{col 47}{space 2} .2423891{col 58}{space 1}   22.22{col 67}{space 3}0.000{col 75}{space 4} 4.910675{col 88}{space 3} 5.860823
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.615088{col 44} .2490276{col 58} 1.193854{col 70}  2.18495
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2924012{col 44} .0151457{col 58} .2641732{col 70} .3236454
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.814177{col 44} .0218005{col 58} 4.771638{col 70} 4.857096
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}25173.84{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220727.09}  
Iteration 1:{space 3}log likelihood = {res:-220727.09}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  2605.94
{txt}Log likelihood = {res}-220727.09{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                             coop{col 35}{c |} Coefficient{col 47}  Std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_avg {c |}{col 35}{res}{space 2} .0936945{col 47}{space 2} .0371228{col 58}{space 1}    2.52{col 67}{space 3}0.012{col 75}{space 4} .0209352{col 88}{space 3} .1664538
{txt}{space 33} {c |}
{space 25}pk_group {c |}
{space 31}2  {c |}{col 35}{res}{space 2}-.4216676{col 47}{space 2}   .01908{col 58}{space 1}  -22.10{col 67}{space 3}0.000{col 75}{space 4}-.4590636{col 88}{space 3}-.3842715
{txt}{space 31}3  {c |}{col 35}{res}{space 2}-.6578045{col 47}{space 2}   .01909{col 58}{space 1}  -34.46{col 67}{space 3}0.000{col 75}{space 4}-.6952203{col 88}{space 3}-.6203887
{txt}{space 33} {c |}
pk_group#c.coopscore_meanfull_avg {c |}
{space 31}2  {c |}{col 35}{res}{space 2} .0937121{col 47}{space 2} .0392835{col 58}{space 1}    2.39{col 67}{space 3}0.017{col 75}{space 4} .0167179{col 88}{space 3} .1707062
{txt}{space 31}3  {c |}{col 35}{res}{space 2}  .141608{col 47}{space 2} .0396283{col 58}{space 1}    3.57{col 67}{space 3}0.000{col 75}{space 4} .0639379{col 88}{space 3} .2192781
{txt}{space 33} {c |}
{space 22}mf_df_rile1 {c |}{col 35}{res}{space 2}-.0318114{col 47}{space 2} .0079574{col 58}{space 1}   -4.00{col 67}{space 3}0.000{col 75}{space 4}-.0474075{col 88}{space 3}-.0162153
{txt}{space 16}perceived_bothCab {c |}{col 35}{res}{space 2} .6912778{col 47}{space 2} .0211413{col 58}{space 1}   32.70{col 67}{space 3}0.000{col 75}{space 4} .6498416{col 88}{space 3} .7327141
{txt}{space 28}_cons {c |}{col 35}{res}{space 2} 5.190635{col 47}{space 2} .2363765{col 58}{space 1}   21.96{col 67}{space 3}0.000{col 75}{space 4} 4.727346{col 88}{space 3} 5.653925
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.540333{col 44} .2375372{col 58} 1.138543{col 70} 2.083914
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2773648{col 44}  .014528{col 58} .2503033{col 70}  .307352
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.765983{col 44} .0215825{col 58}  4.72387{col 70} 4.808473
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24946.76{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res: -221248.5}  
Iteration 1:{space 3}log likelihood = {res: -221248.5}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1543.65
{txt}Log likelihood = {res} -221248.5{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                             coop{col 35}{c |} Coefficient{col 47}  Std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_avg {c |}{col 35}{res}{space 2} .0719592{col 47}{space 2} .0373124{col 58}{space 1}    1.93{col 67}{space 3}0.054{col 75}{space 4}-.0011718{col 88}{space 3} .1450901
{txt}{space 33} {c |}
{space 25}pk_group {c |}
{space 31}2  {c |}{col 35}{res}{space 2}-.4493791{col 47}{space 2} .0191765{col 58}{space 1}  -23.43{col 67}{space 3}0.000{col 75}{space 4}-.4869643{col 88}{space 3}-.4117939
{txt}{space 31}3  {c |}{col 35}{res}{space 2}-.7228861{col 47}{space 2} .0191016{col 58}{space 1}  -37.84{col 67}{space 3}0.000{col 75}{space 4}-.7603246{col 88}{space 3}-.6854476
{txt}{space 33} {c |}
pk_group#c.coopscore_meanfull_avg {c |}
{space 31}2  {c |}{col 35}{res}{space 2} .1054691{col 47}{space 2} .0394841{col 58}{space 1}    2.67{col 67}{space 3}0.008{col 75}{space 4} .0280818{col 88}{space 3} .1828565
{txt}{space 31}3  {c |}{col 35}{res}{space 2} .1796387{col 47}{space 2} .0398154{col 58}{space 1}    4.51{col 67}{space 3}0.000{col 75}{space 4} .1016018{col 88}{space 3} .2576755
{txt}{space 33} {c |}
{space 22}mf_df_rile1 {c |}{col 35}{res}{space 2}-.0284489{col 47}{space 2} .0074841{col 58}{space 1}   -3.80{col 67}{space 3}0.000{col 75}{space 4}-.0431175{col 88}{space 3}-.0137803
{txt}{space 9}percent_month120_bothCab {c |}{col 35}{res}{space 2} .0498836{col 47}{space 2} .0105848{col 58}{space 1}    4.71{col 67}{space 3}0.000{col 75}{space 4} .0291377{col 88}{space 3} .0706295
{txt}{space 28}_cons {c |}{col 35}{res}{space 2} 5.089243{col 47}{space 2} .2302746{col 58}{space 1}   22.10{col 67}{space 3}0.000{col 75}{space 4} 4.637913{col 88}{space 3} 5.540573
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33}  1.33003{col 44} .2052558{col 58} .9828802{col 70} 1.799793
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2923941{col 44} .0151454{col 58} .2641667{col 70} .3236377
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.814178{col 44} .0218005{col 58} 4.771639{col 70} 4.857097
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}22439.26{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188685.85}  
Iteration 1:{space 3}log likelihood = {res:-188685.85}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  8921.49
{txt}Log likelihood = {res}-188685.85{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                             coop{col 35}{c |} Coefficient{col 47}  Std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_avg {c |}{col 35}{res}{space 2} .1016813{col 47}{space 2} .0397834{col 58}{space 1}    2.56{col 67}{space 3}0.011{col 75}{space 4} .0237074{col 88}{space 3} .1796553
{txt}{space 33} {c |}
{space 25}pk_group {c |}
{space 31}2  {c |}{col 35}{res}{space 2}-.3356638{col 47}{space 2} .0200211{col 58}{space 1}  -16.77{col 67}{space 3}0.000{col 75}{space 4}-.3749044{col 88}{space 3}-.2964232
{txt}{space 31}3  {c |}{col 35}{res}{space 2}-.5792304{col 47}{space 2} .0196787{col 58}{space 1}  -29.43{col 67}{space 3}0.000{col 75}{space 4}-.6177999{col 88}{space 3}-.5406609
{txt}{space 33} {c |}
pk_group#c.coopscore_meanfull_avg {c |}
{space 31}2  {c |}{col 35}{res}{space 2} .1088612{col 47}{space 2} .0379094{col 58}{space 1}    2.87{col 67}{space 3}0.004{col 75}{space 4} .0345602{col 88}{space 3} .1831622
{txt}{space 31}3  {c |}{col 35}{res}{space 2}  .200472{col 47}{space 2} .0381179{col 58}{space 1}    5.26{col 67}{space 3}0.000{col 75}{space 4} .1257623{col 88}{space 3} .2751818
{txt}{space 33} {c |}
{space 27}lrdist {c |}{col 35}{res}{space 2}-.2738769{col 47}{space 2} .0031621{col 58}{space 1}  -86.61{col 67}{space 3}0.000{col 75}{space 4}-.2800745{col 88}{space 3}-.2676793
{txt}{space 18}current_bothCab {c |}{col 35}{res}{space 2} 1.922666{col 47}{space 2} 1.118175{col 58}{space 1}    1.72{col 67}{space 3}0.086{col 75}{space 4}-.2689168{col 88}{space 3}  4.11425
{txt}{space 28}_cons {c |}{col 35}{res}{space 2}  5.40828{col 47}{space 2}  .123135{col 58}{space 1}   43.92{col 67}{space 3}0.000{col 75}{space 4}  5.16694{col 88}{space 3} 5.649621
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.229936{col 44} .1899586{col 58} .9086943{col 70} 1.664742
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3009712{col 44} .0156391{col 58} .2718284{col 70} .3332384
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.329352{col 44} .0210173{col 58} 4.288354{col 70} 4.370741
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}18525.53{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188256.37}  
Iteration 1:{space 3}log likelihood = {res:-188256.37}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  9876.65
{txt}Log likelihood = {res}-188256.37{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                             coop{col 35}{c |} Coefficient{col 47}  Std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_avg {c |}{col 35}{res}{space 2} .1222979{col 47}{space 2} .0395656{col 58}{space 1}    3.09{col 67}{space 3}0.002{col 75}{space 4} .0447508{col 88}{space 3} .1998451
{txt}{space 33} {c |}
{space 25}pk_group {c |}
{space 31}2  {c |}{col 35}{res}{space 2} -.309195{col 47}{space 2}  .019928{col 58}{space 1}  -15.52{col 67}{space 3}0.000{col 75}{space 4}-.3482533{col 88}{space 3}-.2701368
{txt}{space 31}3  {c |}{col 35}{res}{space 2}-.5189259{col 47}{space 2} .0196733{col 58}{space 1}  -26.38{col 67}{space 3}0.000{col 75}{space 4}-.5574849{col 88}{space 3} -.480367
{txt}{space 33} {c |}
pk_group#c.coopscore_meanfull_avg {c |}
{space 31}2  {c |}{col 35}{res}{space 2} .0972003{col 47}{space 2} .0377324{col 58}{space 1}    2.58{col 67}{space 3}0.010{col 75}{space 4} .0232463{col 88}{space 3} .1711544
{txt}{space 31}3  {c |}{col 35}{res}{space 2} .1647948{col 47}{space 2} .0379566{col 58}{space 1}    4.34{col 67}{space 3}0.000{col 75}{space 4} .0904012{col 88}{space 3} .2391883
{txt}{space 33} {c |}
{space 27}lrdist {c |}{col 35}{res}{space 2}-.2674782{col 47}{space 2} .0031542{col 58}{space 1}  -84.80{col 67}{space 3}0.000{col 75}{space 4}-.2736603{col 88}{space 3} -.261296
{txt}{space 16}perceived_bothCab {c |}{col 35}{res}{space 2} .6121275{col 47}{space 2} .0207881{col 58}{space 1}   29.45{col 67}{space 3}0.000{col 75}{space 4} .5713836{col 88}{space 3} .6528715
{txt}{space 28}_cons {c |}{col 35}{res}{space 2} 5.249154{col 47}{space 2} .1186939{col 58}{space 1}   44.22{col 67}{space 3}0.000{col 75}{space 4} 5.016518{col 88}{space 3}  5.48179
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.151288{col 44} .1778834{col 58} .8504847{col 70} 1.558481
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2867088{col 44} .0150331{col 58} .2587078{col 70} .3177404
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.289461{col 44} .0208232{col 58} 4.248841{col 70} 4.330468
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}17950.26{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188675.55}  
Iteration 1:{space 3}log likelihood = {res:-188675.55}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  8960.27
{txt}Log likelihood = {res}-188675.55{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 34}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                             coop{col 35}{c |} Coefficient{col 47}  Std. err.{col 59}      z{col 67}   P>|z|{col 75}     [95% con{col 88}f. interval]
{hline 34}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull_avg {c |}{col 35}{res}{space 2} .0979106{col 47}{space 2}   .03975{col 58}{space 1}    2.46{col 67}{space 3}0.014{col 75}{space 4} .0200019{col 88}{space 3} .1758192
{txt}{space 33} {c |}
{space 25}pk_group {c |}
{space 31}2  {c |}{col 35}{res}{space 2} -.335744{col 47}{space 2} .0200208{col 58}{space 1}  -16.77{col 67}{space 3}0.000{col 75}{space 4}-.3749841{col 88}{space 3}-.2965039
{txt}{space 31}3  {c |}{col 35}{res}{space 2}-.5792751{col 47}{space 2} .0196785{col 58}{space 1}  -29.44{col 67}{space 3}0.000{col 75}{space 4}-.6178443{col 88}{space 3}-.5407059
{txt}{space 33} {c |}
pk_group#c.coopscore_meanfull_avg {c |}
{space 31}2  {c |}{col 35}{res}{space 2}  .108864{col 47}{space 2} .0379093{col 58}{space 1}    2.87{col 67}{space 3}0.004{col 75}{space 4} .0345631{col 88}{space 3} .1831649
{txt}{space 31}3  {c |}{col 35}{res}{space 2} .2003506{col 47}{space 2} .0381176{col 58}{space 1}    5.26{col 67}{space 3}0.000{col 75}{space 4} .1256414{col 88}{space 3} .2750598
{txt}{space 33} {c |}
{space 27}lrdist {c |}{col 35}{res}{space 2} -.273906{col 47}{space 2} .0031618{col 58}{space 1}  -86.63{col 67}{space 3}0.000{col 75}{space 4}-.2801029{col 88}{space 3} -.267709
{txt}{space 9}percent_month120_bothCab {c |}{col 35}{res}{space 2} .0463914{col 47}{space 2} .0089155{col 58}{space 1}    5.20{col 67}{space 3}0.000{col 75}{space 4} .0289173{col 88}{space 3} .0638655
{txt}{space 28}_cons {c |}{col 35}{res}{space 2} 5.250285{col 47}{space 2} .1143127{col 58}{space 1}   45.93{col 67}{space 3}0.000{col 75}{space 4} 5.026237{col 88}{space 3} 5.474334
{txt}{hline 34}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .9637068{col 44} .1490672{col 58} .7116725{col 70} 1.304998
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3009643{col 44} .0156388{col 58} .2718221{col 70} .3332309
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.329353{col 44} .0210173{col 58} 4.288355{col 70} 4.370743
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}15891.29{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. 
. /* Table A2.10 */
. 
. set more off
{txt}
{com}. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab ///
>  percent_month120_bothCab{c -(}
{txt}  3{com}. 
. mixed coop c.coopscore_meanhalf##pk_group ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-136430.43}  
Iteration 1:{space 3}log likelihood = {res:-136430.43}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    61,108

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   61,108{col 50} 61,108.0{col 61}   61,108
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     35.4{col 61}       56
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1084.42
{txt}Log likelihood = {res}-136430.43{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf {c |}{col 31}{res}{space 2}-.0200757{col 43}{space 2} .0347393{col 54}{space 1}   -0.58{col 63}{space 3}0.563{col 71}{space 4}-.0881635{col 84}{space 3} .0480121
{txt}{space 29} {c |}
{space 21}pk_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.5127035{col 43}{space 2} .0244941{col 54}{space 1}  -20.93{col 63}{space 3}0.000{col 71}{space 4} -.560711{col 84}{space 3} -.464696
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.7870775{col 43}{space 2} .0252427{col 54}{space 1}  -31.18{col 63}{space 3}0.000{col 71}{space 4}-.8365524{col 84}{space 3}-.7376027
{txt}{space 29} {c |}
pk_group#c.coopscore_meanhalf {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .1458955{col 43}{space 2} .0379757{col 54}{space 1}    3.84{col 63}{space 3}0.000{col 71}{space 4} .0714645{col 84}{space 3} .2203265
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .1639941{col 43}{space 2} .0394114{col 54}{space 1}    4.16{col 63}{space 3}0.000{col 71}{space 4} .0867492{col 84}{space 3} .2412391
{txt}{space 29} {c |}
{space 18}mf_df_rile1 {c |}{col 31}{res}{space 2}-.0368399{col 43}{space 2} .0073524{col 54}{space 1}   -5.01{col 63}{space 3}0.000{col 71}{space 4}-.0512504{col 84}{space 3}-.0224294
{txt}{space 14}current_bothCab {c |}{col 31}{res}{space 2} 2.568713{col 43}{space 2} .6912674{col 54}{space 1}    3.72{col 63}{space 3}0.000{col 71}{space 4} 1.213854{col 84}{space 3} 3.923572
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.498107{col 43}{space 2} .1937118{col 54}{space 1}   28.38{col 63}{space 3}0.000{col 71}{space 4} 5.118438{col 84}{space 3} 5.877775
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .4590055{col 44} .1140935{col 58} .2819925{col 70} .7471335
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4121217{col 44} .0218185{col 58}  .371502{col 70} .4571827
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.893601{col 44} .0284799{col 58} 4.838098{col 70}  4.94974
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}6005.51{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-136187.98}  
Iteration 1:{space 3}log likelihood = {res:-136187.98}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    61,108

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   61,108{col 50} 61,108.0{col 61}   61,108
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     35.4{col 61}       56
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1574.67
{txt}Log likelihood = {res}-136187.98{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf {c |}{col 31}{res}{space 2}-.0253526{col 43}{space 2} .0345981{col 54}{space 1}   -0.73{col 63}{space 3}0.464{col 71}{space 4}-.0931636{col 84}{space 3} .0424583
{txt}{space 29} {c |}
{space 21}pk_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.4906679{col 43}{space 2} .0244046{col 54}{space 1}  -20.11{col 63}{space 3}0.000{col 71}{space 4}   -.5385{col 84}{space 3}-.4428358
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.7312466{col 43}{space 2} .0252527{col 54}{space 1}  -28.96{col 63}{space 3}0.000{col 71}{space 4}-.7807409{col 84}{space 3}-.6817523
{txt}{space 29} {c |}
pk_group#c.coopscore_meanhalf {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .1476417{col 43}{space 2} .0378289{col 54}{space 1}    3.90{col 63}{space 3}0.000{col 71}{space 4} .0734983{col 84}{space 3}  .221785
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .1542659{col 43}{space 2} .0392617{col 54}{space 1}    3.93{col 63}{space 3}0.000{col 71}{space 4} .0773143{col 84}{space 3} .2312174
{txt}{space 29} {c |}
{space 18}mf_df_rile1 {c |}{col 31}{res}{space 2}-.0347814{col 43}{space 2} .0080599{col 54}{space 1}   -4.32{col 63}{space 3}0.000{col 71}{space 4}-.0505784{col 84}{space 3}-.0189843
{txt}{space 12}perceived_bothCab {c |}{col 31}{res}{space 2}  .594719{col 43}{space 2} .0266207{col 54}{space 1}   22.34{col 63}{space 3}0.000{col 71}{space 4} .5425433{col 84}{space 3} .6468947
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.394401{col 43}{space 2} .2117068{col 54}{space 1}   25.48{col 63}{space 3}0.000{col 71}{space 4} 4.979463{col 84}{space 3} 5.809339
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .5532341{col 44} .1373363{col 58} .3400983{col 70} .8999396
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3994308{col 44} .0212958{col 58} .3597986{col 70} .4434285
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.856681{col 44} .0282655{col 58} 4.801596{col 70} 4.912398
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}6388.95{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res: -136426.1}  
Iteration 1:{space 3}log likelihood = {res: -136426.1}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    61,108

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   61,108{col 50} 61,108.0{col 61}   61,108
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     35.4{col 61}       56
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1105.74
{txt}Log likelihood = {res} -136426.1{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf {c |}{col 31}{res}{space 2}-.0200479{col 43}{space 2} .0347224{col 54}{space 1}   -0.58{col 63}{space 3}0.564{col 71}{space 4}-.0881026{col 84}{space 3} .0480067
{txt}{space 29} {c |}
{space 21}pk_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.5126986{col 43}{space 2} .0244939{col 54}{space 1}  -20.93{col 63}{space 3}0.000{col 71}{space 4}-.5607058{col 84}{space 3}-.4646915
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.7869067{col 43}{space 2} .0252422{col 54}{space 1}  -31.17{col 63}{space 3}0.000{col 71}{space 4}-.8363805{col 84}{space 3}-.7374329
{txt}{space 29} {c |}
pk_group#c.coopscore_meanhalf {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .1459437{col 43}{space 2} .0379756{col 54}{space 1}    3.84{col 63}{space 3}0.000{col 71}{space 4}  .071513{col 84}{space 3} .2203745
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .1642854{col 43}{space 2}  .039411{col 54}{space 1}    4.17{col 63}{space 3}0.000{col 71}{space 4} .0870413{col 84}{space 3} .2415295
{txt}{space 29} {c |}
{space 18}mf_df_rile1 {c |}{col 31}{res}{space 2}-.0324037{col 43}{space 2}  .006483{col 54}{space 1}   -5.00{col 63}{space 3}0.000{col 71}{space 4}-.0451101{col 84}{space 3}-.0196973
{txt}{space 5}percent_month120_bothCab {c |}{col 31}{res}{space 2}  .035549{col 43}{space 2} .0067488{col 54}{space 1}    5.27{col 63}{space 3}0.000{col 71}{space 4} .0223216{col 84}{space 3} .0487763
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.284182{col 43}{space 2} .1775237{col 54}{space 1}   29.77{col 63}{space 3}0.000{col 71}{space 4} 4.936241{col 84}{space 3} 5.632122
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .3532011{col 44}  .087785{col 58} .2170018{col 70} .5748846
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .4121318{col 44} .0218188{col 58} .3715115{col 70} .4571933
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.893591{col 44} .0284798{col 58} 4.838089{col 70}  4.94973
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5469.21{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-109599.53}  
Iteration 1:{space 3}log likelihood = {res:-109599.53}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    50,032

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   50,032{col 50} 50,032.0{col 61}   50,032
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     29.0{col 61}       50
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  4422.75
{txt}Log likelihood = {res}-109599.53{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf {c |}{col 31}{res}{space 2} .0096099{col 43}{space 2} .0353861{col 54}{space 1}    0.27{col 63}{space 3}0.786{col 71}{space 4}-.0597457{col 84}{space 3} .0789655
{txt}{space 29} {c |}
{space 21}pk_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.3825342{col 43}{space 2} .0264618{col 54}{space 1}  -14.46{col 63}{space 3}0.000{col 71}{space 4}-.4343983{col 84}{space 3}  -.33067
{txt}{space 27}3  {c |}{col 31}{res}{space 2} -.621143{col 43}{space 2} .0269685{col 54}{space 1}  -23.03{col 63}{space 3}0.000{col 71}{space 4}-.6740003{col 84}{space 3}-.5682858
{txt}{space 29} {c |}
pk_group#c.coopscore_meanhalf {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .1266403{col 43}{space 2} .0387018{col 54}{space 1}    3.27{col 63}{space 3}0.001{col 71}{space 4} .0507862{col 84}{space 3} .2024944
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .1813211{col 43}{space 2}  .039615{col 54}{space 1}    4.58{col 63}{space 3}0.000{col 71}{space 4} .1036772{col 84}{space 3}  .258965
{txt}{space 29} {c |}
{space 23}lrdist {c |}{col 31}{res}{space 2}-.2553329{col 43}{space 2}  .004305{col 54}{space 1}  -59.31{col 63}{space 3}0.000{col 71}{space 4}-.2637705{col 84}{space 3}-.2468952
{txt}{space 14}current_bothCab {c |}{col 31}{res}{space 2} 2.118706{col 43}{space 2} .7591324{col 54}{space 1}    2.79{col 63}{space 3}0.005{col 71}{space 4} .6308334{col 84}{space 3} 3.606578
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.449766{col 43}{space 2} .1367199{col 54}{space 1}   39.86{col 63}{space 3}0.000{col 71}{space 4}   5.1818{col 84}{space 3} 5.717732
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .5548179{col 44} .1400065{col 58} .3383393{col 70} .9098053
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3864926{col 44} .0217802{col 58} .3460771{col 70} .4316278
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.479812{col 44} .0289307{col 58} 4.423466{col 70} 4.536876
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5781.19{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-109388.04}  
Iteration 1:{space 3}log likelihood = {res:-109388.04}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    50,032

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   50,032{col 50} 50,032.0{col 61}   50,032
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     29.0{col 61}       50
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  4883.83
{txt}Log likelihood = {res}-109388.04{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf {c |}{col 31}{res}{space 2} .0151223{col 43}{space 2} .0352297{col 54}{space 1}    0.43{col 63}{space 3}0.668{col 71}{space 4}-.0539266{col 84}{space 3} .0841713
{txt}{space 29} {c |}
{space 21}pk_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.3608011{col 43}{space 2} .0263588{col 54}{space 1}  -13.69{col 63}{space 3}0.000{col 71}{space 4}-.4124635{col 84}{space 3}-.3091387
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.5648714{col 43}{space 2} .0269772{col 54}{space 1}  -20.94{col 63}{space 3}0.000{col 71}{space 4}-.6177458{col 84}{space 3} -.511997
{txt}{space 29} {c |}
pk_group#c.coopscore_meanhalf {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .1254026{col 43}{space 2} .0385433{col 54}{space 1}    3.25{col 63}{space 3}0.001{col 71}{space 4} .0498592{col 84}{space 3}  .200946
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .1659196{col 43}{space 2} .0394596{col 54}{space 1}    4.20{col 63}{space 3}0.000{col 71}{space 4} .0885802{col 84}{space 3}  .243259
{txt}{space 29} {c |}
{space 23}lrdist {c |}{col 31}{res}{space 2}-.2494678{col 43}{space 2} .0042963{col 54}{space 1}  -58.07{col 63}{space 3}0.000{col 71}{space 4}-.2578884{col 84}{space 3}-.2410472
{txt}{space 12}perceived_bothCab {c |}{col 31}{res}{space 2} .5559659{col 43}{space 2} .0267408{col 54}{space 1}   20.79{col 63}{space 3}0.000{col 71}{space 4} .5035549{col 84}{space 3}  .608377
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.356026{col 43}{space 2}   .13931{col 54}{space 1}   38.45{col 63}{space 3}0.000{col 71}{space 4} 5.082984{col 84}{space 3} 5.629069
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .5943603{col 44} .1498557{col 58} .3626076{col 70} .9742329
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3758014{col 44} .0213021{col 58} .3362857{col 70} .4199605
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}   4.4439{col 44} .0286984{col 58} 4.388007{col 70} 4.500506
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5964.30{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-109594.51}  
Iteration 1:{space 3}log likelihood = {res:-109594.51}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    50,032

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   50,032{col 50} 50,032.0{col 61}   50,032
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     29.0{col 61}       50
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  4445.02
{txt}Log likelihood = {res}-109594.51{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf {c |}{col 31}{res}{space 2} .0089594{col 43}{space 2} .0353665{col 54}{space 1}    0.25{col 63}{space 3}0.800{col 71}{space 4}-.0603576{col 84}{space 3} .0782765
{txt}{space 29} {c |}
{space 21}pk_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.3825839{col 43}{space 2} .0264615{col 54}{space 1}  -14.46{col 63}{space 3}0.000{col 71}{space 4}-.4344475{col 84}{space 3}-.3307202
{txt}{space 27}3  {c |}{col 31}{res}{space 2} -.621081{col 43}{space 2} .0269678{col 54}{space 1}  -23.03{col 63}{space 3}0.000{col 71}{space 4}-.6739369{col 84}{space 3}-.5682251
{txt}{space 29} {c |}
pk_group#c.coopscore_meanhalf {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .1266198{col 43}{space 2} .0387016{col 54}{space 1}    3.27{col 63}{space 3}0.001{col 71}{space 4}  .050766{col 84}{space 3} .2024736
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .1815244{col 43}{space 2} .0396146{col 54}{space 1}    4.58{col 63}{space 3}0.000{col 71}{space 4} .1038812{col 84}{space 3} .2591677
{txt}{space 29} {c |}
{space 23}lrdist {c |}{col 31}{res}{space 2}-.2553797{col 43}{space 2} .0043043{col 54}{space 1}  -59.33{col 63}{space 3}0.000{col 71}{space 4}-.2638159{col 84}{space 3}-.2469435
{txt}{space 5}percent_month120_bothCab {c |}{col 31}{res}{space 2}  .034079{col 43}{space 2} .0071994{col 54}{space 1}    4.73{col 63}{space 3}0.000{col 71}{space 4} .0199684{col 84}{space 3} .0481897
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.317206{col 43}{space 2} .1233375{col 54}{space 1}   43.11{col 63}{space 3}0.000{col 71}{space 4} 5.075469{col 84}{space 3} 5.558943
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .4048698{col 44}  .102313{col 58} .2467241{col 70} .6643838
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3864924{col 44} .0217801{col 58} .3460772{col 70} .4316273
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.479809{col 44} .0289307{col 58} 4.423463{col 70} 4.536872
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}4924.32{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. /* Table A2.11 */
. 
. set more off
{txt}
{com}. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab ///
>  percent_month120_bothCab{c -(}
{txt}  3{com}. 
. mixed coop c.coopscore_meanhalf_withzero##pk_group ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221268.38}  
Iteration 1:{space 3}log likelihood = {res:-221268.38}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1497.21
{txt}Log likelihood = {res}-221268.38{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf_withzero {c |}{col 40}{res}{space 2}-.0290949{col 52}{space 2} .0342913{col 63}{space 1}   -0.85{col 72}{space 3}0.396{col 80}{space 4}-.0963046{col 93}{space 3} .0381147
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2} -.445067{col 52}{space 2} .0191812{col 63}{space 1}  -23.20{col 72}{space 3}0.000{col 80}{space 4}-.4826614{col 93}{space 3}-.4074725
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.7155797{col 52}{space 2} .0190668{col 63}{space 1}  -37.53{col 72}{space 3}0.000{col 80}{space 4}  -.75295{col 93}{space 3}-.6782095
{txt}{space 38} {c |}
pk_group#c.coopscore_meanhalf_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1568018{col 52}{space 2} .0374283{col 63}{space 1}    4.19{col 72}{space 3}0.000{col 80}{space 4} .0834437{col 93}{space 3} .2301599
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .1690584{col 52}{space 2}  .038846{col 63}{space 1}    4.35{col 72}{space 3}0.000{col 80}{space 4} .0929216{col 93}{space 3} .2451951
{txt}{space 38} {c |}
{space 27}mf_df_rile1 {c |}{col 40}{res}{space 2}-.0339602{col 52}{space 2} .0081237{col 63}{space 1}   -4.18{col 72}{space 3}0.000{col 80}{space 4}-.0498823{col 93}{space 3}-.0180381
{txt}{space 23}current_bothCab {c |}{col 40}{res}{space 2} 2.562361{col 52}{space 2} 1.276118{col 63}{space 1}    2.01{col 72}{space 3}0.045{col 80}{space 4} .0612168{col 93}{space 3} 5.063506
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.388481{col 52}{space 2} .2416957{col 63}{space 1}   22.29{col 72}{space 3}0.000{col 80}{space 4} 4.914766{col 93}{space 3} 5.862196
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.605758{col 44} .2476015{col 58} 1.186938{col 70} 2.172361
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2929361{col 44} .0151724{col 58} .2646584{col 70} .3242352
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.815232{col 44} .0218054{col 58} 4.772683{col 70}  4.85816
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24924.65{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220738.34}  
Iteration 1:{space 3}log likelihood = {res:-220738.34}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  2582.66
{txt}Log likelihood = {res}-220738.34{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf_withzero {c |}{col 40}{res}{space 2}-.0371755{col 52}{space 2} .0341104{col 63}{space 1}   -1.09{col 72}{space 3}0.276{col 80}{space 4}-.1040308{col 93}{space 3} .0296797
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.4173847{col 52}{space 2} .0190843{col 63}{space 1}  -21.87{col 72}{space 3}0.000{col 80}{space 4}-.4547893{col 93}{space 3}-.3799802
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.6518829{col 52}{space 2} .0190506{col 63}{space 1}  -34.22{col 72}{space 3}0.000{col 80}{space 4}-.6892214{col 93}{space 3}-.6145444
{txt}{space 38} {c |}
pk_group#c.coopscore_meanhalf_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1581576{col 52}{space 2} .0372368{col 63}{space 1}    4.25{col 72}{space 3}0.000{col 80}{space 4} .0851748{col 93}{space 3} .2311404
{txt}{space 36}3  {c |}{col 40}{res}{space 2}  .157728{col 52}{space 2} .0386489{col 63}{space 1}    4.08{col 72}{space 3}0.000{col 80}{space 4} .0819776{col 93}{space 3} .2334784
{txt}{space 38} {c |}
{space 27}mf_df_rile1 {c |}{col 40}{res}{space 2}-.0319727{col 52}{space 2} .0079633{col 63}{space 1}   -4.01{col 72}{space 3}0.000{col 80}{space 4}-.0475806{col 93}{space 3}-.0163649
{txt}{space 21}perceived_bothCab {c |}{col 40}{res}{space 2}  .691642{col 52}{space 2} .0211379{col 63}{space 1}   32.72{col 72}{space 3}0.000{col 80}{space 4} .6502126{col 93}{space 3} .7330715
{txt}{space 33}_cons {c |}{col 40}{res}{space 2}  5.19608{col 52}{space 2} .2365513{col 63}{space 1}   21.97{col 72}{space 3}0.000{col 80}{space 4} 4.732448{col 93}{space 3} 5.659712
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.542673{col 44} .2379054{col 58} 1.140262{col 70} 2.087099
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2779424{col 44} .0145562{col 58} .2508282{col 70} .3079876
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.766943{col 44} .0215869{col 58}  4.72482{col 70} 4.809441
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24492.75{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221259.87}  
Iteration 1:{space 3}log likelihood = {res:-221259.87}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1521.03
{txt}Log likelihood = {res}-221259.87{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf_withzero {c |}{col 40}{res}{space 2}-.0298687{col 52}{space 2} .0342859{col 63}{space 1}   -0.87{col 72}{space 3}0.384{col 80}{space 4}-.0970678{col 93}{space 3} .0373303
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.4450897{col 52}{space 2} .0191811{col 63}{space 1}  -23.20{col 72}{space 3}0.000{col 80}{space 4}-.4826839{col 93}{space 3}-.4074955
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.7156163{col 52}{space 2} .0190667{col 63}{space 1}  -37.53{col 72}{space 3}0.000{col 80}{space 4}-.7529863{col 93}{space 3}-.6782462
{txt}{space 38} {c |}
pk_group#c.coopscore_meanhalf_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1567847{col 52}{space 2} .0374283{col 63}{space 1}    4.19{col 72}{space 3}0.000{col 80}{space 4} .0834266{col 93}{space 3} .2301428
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .1691297{col 52}{space 2} .0388459{col 63}{space 1}    4.35{col 72}{space 3}0.000{col 80}{space 4} .0929931{col 93}{space 3} .2452663
{txt}{space 38} {c |}
{space 27}mf_df_rile1 {c |}{col 40}{res}{space 2}-.0284595{col 52}{space 2} .0074375{col 63}{space 1}   -3.83{col 72}{space 3}0.000{col 80}{space 4}-.0430368{col 93}{space 3}-.0138823
{txt}{space 14}percent_month120_bothCab {c |}{col 40}{res}{space 2} .0512488{col 52}{space 2} .0105159{col 63}{space 1}    4.87{col 72}{space 3}0.000{col 80}{space 4} .0306381{col 93}{space 3} .0718595
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.085527{col 52}{space 2} .2288537{col 63}{space 1}   22.22{col 72}{space 3}0.000{col 80}{space 4} 4.636982{col 93}{space 3} 5.534072
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.313414{col 44} .2026943{col 58} .9705966{col 70} 1.777315
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2929192{col 44} .0151716{col 58} .2646429{col 70} .3242167
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.815234{col 44} .0218054{col 58} 4.772686{col 70} 4.858162
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}22438.28{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188698.24}  
Iteration 1:{space 3}log likelihood = {res:-188698.24}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  8894.53
{txt}Log likelihood = {res}-188698.24{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf_withzero {c |}{col 40}{res}{space 2} .0109858{col 52}{space 2} .0346061{col 63}{space 1}    0.32{col 72}{space 3}0.751{col 80}{space 4}-.0568409{col 93}{space 3} .0788124
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.3342358{col 52}{space 2} .0200088{col 63}{space 1}  -16.70{col 72}{space 3}0.000{col 80}{space 4}-.3734523{col 93}{space 3}-.2950192
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.5730471{col 52}{space 2} .0196422{col 63}{space 1}  -29.17{col 72}{space 3}0.000{col 80}{space 4}-.6115451{col 93}{space 3}-.5345491
{txt}{space 38} {c |}
pk_group#c.coopscore_meanhalf_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1273313{col 52}{space 2} .0378069{col 63}{space 1}    3.37{col 72}{space 3}0.001{col 80}{space 4} .0532311{col 93}{space 3} .2014315
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .1763098{col 52}{space 2} .0386741{col 63}{space 1}    4.56{col 72}{space 3}0.000{col 80}{space 4} .1005099{col 93}{space 3} .2521097
{txt}{space 38} {c |}
{space 32}lrdist {c |}{col 40}{res}{space 2}-.2739483{col 52}{space 2} .0031628{col 63}{space 1}  -86.62{col 72}{space 3}0.000{col 80}{space 4}-.2801472{col 93}{space 3}-.2677494
{txt}{space 23}current_bothCab {c |}{col 40}{res}{space 2} 2.165303{col 52}{space 2}  1.11302{col 63}{space 1}    1.95{col 72}{space 3}0.052{col 80}{space 4} -.016176{col 93}{space 3} 4.346783
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.407747{col 52}{space 2} .1227008{col 63}{space 1}   44.07{col 72}{space 3}0.000{col 80}{space 4} 5.167258{col 93}{space 3} 5.648237
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.220905{col 44} .1885776{col 58} .9020027{col 70} 1.652556
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3015369{col 44} .0156671{col 58} .2723418{col 70} .3338618
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.330518{col 44} .0210231{col 58} 4.289508{col 70} 4.371919
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}18357.88{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188267.36}  
Iteration 1:{space 3}log likelihood = {res:-188267.36}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  9852.10
{txt}Log likelihood = {res}-188267.36{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf_withzero {c |}{col 40}{res}{space 2} .0160568{col 52}{space 2}  .034434{col 63}{space 1}    0.47{col 72}{space 3}0.641{col 80}{space 4}-.0514327{col 93}{space 3} .0835463
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.3078749{col 52}{space 2} .0199152{col 63}{space 1}  -15.46{col 72}{space 3}0.000{col 80}{space 4}-.3469079{col 93}{space 3}-.2688418
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.5137263{col 52}{space 2} .0196326{col 63}{space 1}  -26.17{col 72}{space 3}0.000{col 80}{space 4}-.5522054{col 93}{space 3}-.4752471
{txt}{space 38} {c |}
pk_group#c.coopscore_meanhalf_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1249602{col 52}{space 2} .0376287{col 63}{space 1}    3.32{col 72}{space 3}0.001{col 80}{space 4} .0512092{col 93}{space 3} .1987111
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .1594794{col 52}{space 2} .0384959{col 63}{space 1}    4.14{col 72}{space 3}0.000{col 80}{space 4} .0840288{col 93}{space 3} .2349299
{txt}{space 38} {c |}
{space 32}lrdist {c |}{col 40}{res}{space 2}-.2675558{col 52}{space 2} .0031547{col 63}{space 1}  -84.81{col 72}{space 3}0.000{col 80}{space 4} -.273739{col 93}{space 3}-.2613726
{txt}{space 21}perceived_bothCab {c |}{col 40}{res}{space 2} .6132338{col 52}{space 2} .0207822{col 63}{space 1}   29.51{col 72}{space 3}0.000{col 80}{space 4} .5725013{col 93}{space 3} .6539662
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.251529{col 52}{space 2} .1187081{col 63}{space 1}   44.24{col 72}{space 3}0.000{col 80}{space 4} 5.018866{col 93}{space 3} 5.484193
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.151575{col 44} .1779376{col 58} .8506825{col 70} 1.558896
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2873864{col 44} .0150659{col 58} .2593242{col 70} .3184853
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.290415{col 44}  .020828{col 58} 4.249786{col 70} 4.331432
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}17667.15{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188687.39}  
Iteration 1:{space 3}log likelihood = {res:-188687.39}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  8935.93
{txt}Log likelihood = {res}-188687.39{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                  coop{col 40}{c |} Coefficient{col 52}  Std. err.{col 64}      z{col 72}   P>|z|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanhalf_withzero {c |}{col 40}{res}{space 2} .0097729{col 52}{space 2} .0345969{col 63}{space 1}    0.28{col 72}{space 3}0.778{col 80}{space 4}-.0580357{col 93}{space 3} .0775815
{txt}{space 38} {c |}
{space 30}pk_group {c |}
{space 36}2  {c |}{col 40}{res}{space 2}-.3343047{col 52}{space 2} .0200085{col 63}{space 1}  -16.71{col 72}{space 3}0.000{col 80}{space 4}-.3735206{col 93}{space 3}-.2950888
{txt}{space 36}3  {c |}{col 40}{res}{space 2}-.5730946{col 52}{space 2}  .019642{col 63}{space 1}  -29.18{col 72}{space 3}0.000{col 80}{space 4}-.6115923{col 93}{space 3}-.5345969
{txt}{space 38} {c |}
pk_group#c.coopscore_meanhalf_withzero {c |}
{space 36}2  {c |}{col 40}{res}{space 2} .1272964{col 52}{space 2} .0378069{col 63}{space 1}    3.37{col 72}{space 3}0.001{col 80}{space 4} .0531963{col 93}{space 3} .2013965
{txt}{space 36}3  {c |}{col 40}{res}{space 2} .1763904{col 52}{space 2}  .038674{col 63}{space 1}    4.56{col 72}{space 3}0.000{col 80}{space 4} .1005908{col 93}{space 3} .2521901
{txt}{space 38} {c |}
{space 32}lrdist {c |}{col 40}{res}{space 2}-.2739789{col 52}{space 2} .0031624{col 63}{space 1}  -86.64{col 72}{space 3}0.000{col 80}{space 4}-.2801771{col 93}{space 3}-.2677807
{txt}{space 14}percent_month120_bothCab {c |}{col 40}{res}{space 2} .0479812{col 52}{space 2} .0088211{col 63}{space 1}    5.44{col 72}{space 3}0.000{col 80}{space 4} .0306922{col 93}{space 3} .0652703
{txt}{space 33}_cons {c |}{col 40}{res}{space 2} 5.246352{col 52}{space 2} .1132201{col 63}{space 1}   46.34{col 72}{space 3}0.000{col 80}{space 4} 5.024445{col 93}{space 3}  5.46826
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .9445415{col 44} .1460919{col 58} .6975351{col 70} 1.279016
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3015126{col 44}  .015666{col 58} .2723196{col 70} .3338352
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.330521{col 44} .0210231{col 58} 4.289512{col 70} 4.371923
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}15943.66{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. 
. /* Table A5.1 */
. 
. set more off
{txt}
{com}. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab ///
>  percent_month120_bothCab{c -(}
{txt}  3{com}. 
. mixed coop c.coopscore_meanfull_withzero ///
>                                  c.`policy'##i.pk_group ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220878.72}  
Iteration 1:{space 3}log likelihood = {res:-220878.72}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  2290.57
{txt}Log likelihood = {res}-220878.72{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .1793338{col 41}{space 2} .0268812{col 52}{space 1}    6.67{col 61}{space 3}0.000{col 69}{space 4} .1266477{col 82}{space 3} .2320199
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0189021{col 41}{space 2} .0081399{col 52}{space 1}   -2.32{col 61}{space 3}0.020{col 69}{space 4}-.0348559{col 82}{space 3}-.0029482
{txt}{space 27} {c |}
{space 19}pk_group {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.1963466{col 41}{space 2} .0309133{col 52}{space 1}   -6.35{col 61}{space 3}0.000{col 69}{space 4}-.2569356{col 82}{space 3}-.1357575
{txt}{space 25}3  {c |}{col 29}{res}{space 2} -.040834{col 41}{space 2} .0310547{col 52}{space 1}   -1.31{col 61}{space 3}0.189{col 69}{space 4}-.1017001{col 82}{space 3} .0200321
{txt}{space 27} {c |}
{space 5}pk_group#c.mf_df_rile1 {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.0113127{col 41}{space 2} .0011072{col 52}{space 1}  -10.22{col 61}{space 3}0.000{col 69}{space 4}-.0134829{col 82}{space 3}-.0091426
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.0295968{col 41}{space 2} .0010784{col 52}{space 1}  -27.45{col 61}{space 3}0.000{col 69}{space 4}-.0317104{col 82}{space 3}-.0274832
{txt}{space 27} {c |}
{space 12}current_bothCab {c |}{col 29}{res}{space 2} 2.361444{col 41}{space 2} 1.275176{col 52}{space 1}    1.85{col 61}{space 3}0.064{col 69}{space 4}-.1378543{col 82}{space 3} 4.860743
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 5.050917{col 41}{space 2} .2418429{col 52}{space 1}   20.89{col 61}{space 3}0.000{col 69}{space 4} 4.576913{col 82}{space 3}  5.52492
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.601949{col 44} .2470096{col 58} 1.184129{col 70} 2.167195
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2943429{col 44} .0152014{col 58}  .266007{col 70} .3256972
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}  4.77695{col 44} .0216322{col 58}  4.73474{col 70} 4.819537
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24983.76{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220378.08}  
Iteration 1:{space 3}log likelihood = {res:-220378.08}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  3323.32
{txt}Log likelihood = {res}-220378.08{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .1817798{col 41}{space 2} .0267304{col 52}{space 1}    6.80{col 61}{space 3}0.000{col 69}{space 4}  .129389{col 82}{space 3} .2341705
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0178081{col 41}{space 2} .0079631{col 52}{space 1}   -2.24{col 61}{space 3}0.025{col 69}{space 4}-.0334155{col 82}{space 3}-.0022008
{txt}{space 27} {c |}
{space 19}pk_group {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.1897393{col 41}{space 2} .0307568{col 52}{space 1}   -6.17{col 61}{space 3}0.000{col 69}{space 4}-.2500214{col 82}{space 3}-.1294572
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.0123514{col 41}{space 2} .0309096{col 52}{space 1}   -0.40{col 61}{space 3}0.689{col 69}{space 4}-.0729332{col 82}{space 3} .0482304
{txt}{space 27} {c |}
{space 5}pk_group#c.mf_df_rile1 {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.0103978{col 41}{space 2} .0011023{col 52}{space 1}   -9.43{col 61}{space 3}0.000{col 69}{space 4}-.0125582{col 82}{space 3}-.0082373
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.0281315{col 41}{space 2} .0010742{col 52}{space 1}  -26.19{col 61}{space 3}0.000{col 69}{space 4}-.0302369{col 82}{space 3}-.0260262
{txt}{space 27} {c |}
{space 10}perceived_bothCab {c |}{col 29}{res}{space 2} .6700263{col 41}{space 2} .0210769{col 52}{space 1}   31.79{col 61}{space 3}0.000{col 69}{space 4} .6287163{col 82}{space 3} .7113362
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.881786{col 41}{space 2} .2362011{col 52}{space 1}   20.67{col 61}{space 3}0.000{col 69}{space 4}  4.41884{col 82}{space 3} 5.344732
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.532476{col 44} .2363506{col 58} 1.132699{col 70} 2.073351
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2798299{col 44} .0146073{col 58}  .252616{col 70} .3099755
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.731781{col 44} .0214279{col 58} 4.689969{col 70} 4.773965
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24111.98{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220870.52}  
Iteration 1:{space 3}log likelihood = {res:-220870.52}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  2313.50
{txt}Log likelihood = {res}-220870.52{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .1778286{col 41}{space 2} .0268653{col 52}{space 1}    6.62{col 61}{space 3}0.000{col 69}{space 4} .1251735{col 82}{space 3} .2304837
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0135657{col 41}{space 2} .0074835{col 52}{space 1}   -1.81{col 61}{space 3}0.070{col 69}{space 4}-.0282332{col 82}{space 3} .0011017
{txt}{space 27} {c |}
{space 19}pk_group {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.1963151{col 41}{space 2} .0309132{col 52}{space 1}   -6.35{col 61}{space 3}0.000{col 69}{space 4}-.2569039{col 82}{space 3}-.1357264
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.0409384{col 41}{space 2} .0310546{col 52}{space 1}   -1.32{col 61}{space 3}0.187{col 69}{space 4}-.1018043{col 82}{space 3} .0199274
{txt}{space 27} {c |}
{space 5}pk_group#c.mf_df_rile1 {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.0113157{col 41}{space 2} .0011072{col 52}{space 1}  -10.22{col 61}{space 3}0.000{col 69}{space 4}-.0134859{col 82}{space 3}-.0091456
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.0295942{col 41}{space 2} .0010784{col 52}{space 1}  -27.44{col 61}{space 3}0.000{col 69}{space 4}-.0317078{col 82}{space 3}-.0274806
{txt}{space 27} {c |}
{space 3}percent_month120_bothCab {c |}{col 29}{res}{space 2} .0497266{col 41}{space 2} .0105443{col 52}{space 1}    4.72{col 61}{space 3}0.000{col 69}{space 4} .0290601{col 82}{space 3}  .070393
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 4.755555{col 41}{space 2} .2298548{col 52}{space 1}   20.69{col 61}{space 3}0.000{col 69}{space 4} 4.305048{col 82}{space 3} 5.206062
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.319812{col 44} .2036672{col 58} .9753461{col 70} 1.785934
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2943364{col 44} .0152011{col 58} .2660011{col 70} .3256901
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.776951{col 44} .0216322{col 58}  4.73474{col 70} 4.819538
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}22703.74{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188589.44}  
Iteration 1:{space 3}log likelihood = {res:-188589.44}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  9136.52
{txt}Log likelihood = {res}-188589.44{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .2248546{col 41}{space 2}    .0309{col 52}{space 1}    7.28{col 61}{space 3}0.000{col 69}{space 4} .1642918{col 82}{space 3} .2854175
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2}-.2346125{col 41}{space 2} .0051273{col 52}{space 1}  -45.76{col 61}{space 3}0.000{col 69}{space 4}-.2446618{col 82}{space 3}-.2245633
{txt}{space 27} {c |}
{space 19}pk_group {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.2596131{col 41}{space 2} .0298393{col 52}{space 1}   -8.70{col 61}{space 3}0.000{col 69}{space 4}-.3180971{col 82}{space 3}-.2011291
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.2446424{col 41}{space 2} .0303024{col 52}{space 1}   -8.07{col 61}{space 3}0.000{col 69}{space 4} -.304034{col 82}{space 3}-.1852509
{txt}{space 27} {c |}
{space 10}pk_group#c.lrdist {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.0252475{col 41}{space 2} .0068358{col 52}{space 1}   -3.69{col 61}{space 3}0.000{col 69}{space 4}-.0386454{col 82}{space 3}-.0118496
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.0963379{col 41}{space 2} .0068835{col 52}{space 1}  -14.00{col 61}{space 3}0.000{col 69}{space 4}-.1098293{col 82}{space 3}-.0828466
{txt}{space 27} {c |}
{space 12}current_bothCab {c |}{col 29}{res}{space 2} 1.911074{col 41}{space 2} 1.093122{col 52}{space 1}    1.75{col 61}{space 3}0.080{col 69}{space 4}-.2314069{col 82}{space 3} 4.053554
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 5.283609{col 41}{space 2} .1211237{col 52}{space 1}   43.62{col 61}{space 3}0.000{col 69}{space 4} 5.046211{col 82}{space 3} 5.521007
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.175195{col 44} .1815788{col 58}  .868143{col 70} 1.590848
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3020066{col 44}  .015675{col 58} .2727951{col 70} .3343461
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}   4.3196{col 44} .0209701{col 58} 4.278695{col 70} 4.360897
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}17732.93{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188155.62}  
Iteration 1:{space 3}log likelihood = {res:-188155.62}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res} 10103.83
{txt}Log likelihood = {res}-188155.62{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .2288137{col 41}{space 2} .0307034{col 52}{space 1}    7.45{col 61}{space 3}0.000{col 69}{space 4}  .168636{col 82}{space 3} .2889913
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2}-.2289748{col 41}{space 2} .0051057{col 52}{space 1}  -44.85{col 61}{space 3}0.000{col 69}{space 4}-.2389818{col 82}{space 3}-.2189678
{txt}{space 27} {c |}
{space 19}pk_group {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.2373446{col 41}{space 2} .0296926{col 52}{space 1}   -7.99{col 61}{space 3}0.000{col 69}{space 4} -.295541{col 82}{space 3}-.1791482
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.1884521{col 41}{space 2} .0302031{col 52}{space 1}   -6.24{col 61}{space 3}0.000{col 69}{space 4}-.2476491{col 82}{space 3}-.1292551
{txt}{space 27} {c |}
{space 10}pk_group#c.lrdist {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.0239271{col 41}{space 2} .0068027{col 52}{space 1}   -3.52{col 61}{space 3}0.000{col 69}{space 4}-.0372601{col 82}{space 3}-.0105941
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.0953986{col 41}{space 2} .0068501{col 52}{space 1}  -13.93{col 61}{space 3}0.000{col 69}{space 4}-.1088246{col 82}{space 3}-.0819727
{txt}{space 27} {c |}
{space 10}perceived_bothCab {c |}{col 29}{res}{space 2} .6142112{col 41}{space 2} .0207528{col 52}{space 1}   29.60{col 61}{space 3}0.000{col 69}{space 4} .5735365{col 82}{space 3} .6548859
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 5.126538{col 41}{space 2} .1166752{col 52}{space 1}   43.94{col 61}{space 3}0.000{col 69}{space 4} 4.897859{col 82}{space 3} 5.355218
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.097508{col 44} .1696735{col 58} .8106119{col 70} 1.485944
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2877998{col 44} .0150698{col 58} .2597287{col 70} .3189048
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.279356{col 44} .0207743{col 58} 4.238832{col 70} 4.320267
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}16777.34{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188579.04}  
Iteration 1:{space 3}log likelihood = {res:-188579.04}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  9177.53
{txt}Log likelihood = {res}-188579.04{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .2214235{col 41}{space 2} .0308554{col 52}{space 1}    7.18{col 61}{space 3}0.000{col 69}{space 4} .1609481{col 82}{space 3}  .281899
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2}-.2346323{col 41}{space 2} .0051271{col 52}{space 1}  -45.76{col 61}{space 3}0.000{col 69}{space 4}-.2446813{col 82}{space 3}-.2245833
{txt}{space 27} {c |}
{space 19}pk_group {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.2596457{col 41}{space 2} .0298391{col 52}{space 1}   -8.70{col 61}{space 3}0.000{col 69}{space 4}-.3181293{col 82}{space 3}-.2011622
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.2446704{col 41}{space 2}  .030302{col 52}{space 1}   -8.07{col 61}{space 3}0.000{col 69}{space 4}-.3040612{col 82}{space 3}-.1852796
{txt}{space 27} {c |}
{space 10}pk_group#c.lrdist {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.0252638{col 41}{space 2} .0068358{col 52}{space 1}   -3.70{col 61}{space 3}0.000{col 69}{space 4}-.0386616{col 82}{space 3}-.0118659
{txt}{space 25}3  {c |}{col 29}{res}{space 2}-.0963451{col 41}{space 2} .0068834{col 52}{space 1}  -14.00{col 61}{space 3}0.000{col 69}{space 4}-.1098363{col 82}{space 3}-.0828539
{txt}{space 27} {c |}
{space 3}percent_month120_bothCab {c |}{col 29}{res}{space 2} .0456268{col 41}{space 2} .0087071{col 52}{space 1}    5.24{col 61}{space 3}0.000{col 69}{space 4} .0285613{col 82}{space 3} .0626923
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 5.128392{col 41}{space 2} .1124318{col 52}{space 1}   45.61{col 61}{space 3}0.000{col 69}{space 4}  4.90803{col 82}{space 3} 5.348755
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .9187454{col 44} .1421509{col 58} .6784141{col 70} 1.244215
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3020012{col 44} .0156748{col 58} .2727902{col 70} .3343402
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}   4.3196{col 44} .0209701{col 58} 4.278695{col 70} 4.360897
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}15570.49{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. 
. /* Table A5.2 */
. 
. 
. 
. set more off
{txt}
{com}. 
. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab ///
>  percent_month120_bothCab{c -(}
{txt}  3{com}. 
. mixed coop c.coopscore_meanfull_withzero ///
>                                  c.`policy' ///
>                                  c.`cabpar'##i.pk_group  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221220.51}  
Iteration 1:{space 3}log likelihood = {res:-221220.51}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1594.46
{txt}Log likelihood = {res}-221220.51{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .1757702{col 41}{space 2} .0269763{col 52}{space 1}    6.52{col 61}{space 3}0.000{col 69}{space 4} .1228977{col 82}{space 3} .2286428
{txt}{space 16}mf_df_rile1 {c |}{col 29}{res}{space 2}-.0338257{col 41}{space 2}  .008111{col 52}{space 1}   -4.17{col 61}{space 3}0.000{col 69}{space 4}-.0497229{col 82}{space 3}-.0179284
{txt}{space 12}current_bothCab {c |}{col 29}{res}{space 2} 1.579076{col 41}{space 2} 1.277848{col 52}{space 1}    1.24{col 61}{space 3}0.217{col 69}{space 4}-.9254612{col 82}{space 3} 4.083612
{txt}{space 27} {c |}
{space 19}pk_group {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.4592379{col 41}{space 2} .0192801{col 52}{space 1}  -23.82{col 61}{space 3}0.000{col 69}{space 4}-.4970262{col 82}{space 3}-.4214496
{txt}{space 25}3  {c |}{col 29}{res}{space 2} -.739654{col 41}{space 2} .0191916{col 52}{space 1}  -38.54{col 61}{space 3}0.000{col 69}{space 4}-.7772689{col 82}{space 3}-.7020391
{txt}{space 27} {c |}
{space 1}pk_group#c.current_bothCab {c |}
{space 25}2  {c |}{col 29}{res}{space 2} .7758886{col 41}{space 2} .1329088{col 52}{space 1}    5.84{col 61}{space 3}0.000{col 69}{space 4} .5153922{col 82}{space 3} 1.036385
{txt}{space 25}3  {c |}{col 29}{res}{space 2} 1.219807{col 41}{space 2} .1265301{col 52}{space 1}    9.64{col 61}{space 3}0.000{col 69}{space 4} .9718122{col 82}{space 3} 1.467801
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2} 5.397332{col 41}{space 2} .2413216{col 52}{space 1}   22.37{col 61}{space 3}0.000{col 69}{space 4} 4.924351{col 82}{space 3} 5.870314
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.600721{col 44} .2468315{col 58} 1.183205{col 70} 2.165564
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2926783{col 44} .0151523{col 58} .2644374{col 70} .3239352
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.810614{col 44} .0217843{col 58} 4.768107{col 70} 4.853501
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}24734.68{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-220658.55}  
Iteration 1:{space 3}log likelihood = {res:-220658.55}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  2747.48
{txt}Log likelihood = {res}-220658.55{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                        coop{col 30}{c |} Coefficient{col 42}  Std. err.{col 54}      z{col 62}   P>|z|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}coopscore_meanfull_withzero {c |}{col 30}{res}{space 2} .1770303{col 42}{space 2} .0268066{col 53}{space 1}    6.60{col 62}{space 3}0.000{col 70}{space 4} .1244902{col 83}{space 3} .2295703
{txt}{space 17}mf_df_rile1 {c |}{col 30}{res}{space 2}-.0313121{col 42}{space 2} .0078796{col 53}{space 1}   -3.97{col 62}{space 3}0.000{col 70}{space 4}-.0467559{col 83}{space 3}-.0158684
{txt}{space 11}perceived_bothCab {c |}{col 30}{res}{space 2} .4106605{col 42}{space 2}  .032103{col 53}{space 1}   12.79{col 62}{space 3}0.000{col 70}{space 4} .3477398{col 83}{space 3} .4735813
{txt}{space 28} {c |}
{space 20}pk_group {c |}
{space 26}2  {c |}{col 30}{res}{space 2}-.5016875{col 42}{space 2} .0209493{col 53}{space 1}  -23.95{col 62}{space 3}0.000{col 70}{space 4}-.5427473{col 83}{space 3}-.4606277
{txt}{space 26}3  {c |}{col 30}{res}{space 2}-.7526176{col 42}{space 2} .0207263{col 53}{space 1}  -36.31{col 62}{space 3}0.000{col 70}{space 4}-.7932404{col 83}{space 3}-.7119949
{txt}{space 28} {c |}
pk_group#c.perceived_bothCab {c |}
{space 26}2  {c |}{col 30}{res}{space 2} .3971525{col 42}{space 2} .0449577{col 53}{space 1}    8.83{col 62}{space 3}0.000{col 70}{space 4} .3090371{col 83}{space 3} .4852679
{txt}{space 26}3  {c |}{col 30}{res}{space 2} .5586844{col 42}{space 2} .0478919{col 53}{space 1}   11.67{col 62}{space 3}0.000{col 70}{space 4}  .464818{col 83}{space 3} .6525509
{txt}{space 28} {c |}
{space 23}_cons {c |}{col 30}{res}{space 2} 5.239348{col 42}{space 2} .2341187{col 53}{space 1}   22.38{col 62}{space 3}0.000{col 70}{space 4} 4.780484{col 83}{space 3} 5.698212
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.510173{col 44} .2329412{col 58} 1.116171{col 70} 2.043256
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2760575{col 44} .0144858{col 58}  .249077{col 70} .3059605
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}  4.75971{col 44} .0215545{col 58} 4.717651{col 70} 4.802144
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}23637.13{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-221074.58}  
Iteration 1:{space 3}log likelihood = {res:-221074.58}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    99,696

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   99,696{col 50} 99,696.0{col 61}   99,696
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        8{col 50}     57.8{col 61}       88
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1897.52
{txt}Log likelihood = {res}-221074.58{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                               coop{col 37}{c |} Coefficient{col 49}  Std. err.{col 61}      z{col 69}   P>|z|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}coopscore_meanfull_withzero {c |}{col 37}{res}{space 2} .1647855{col 49}{space 2} .0269246{col 60}{space 1}    6.12{col 69}{space 3}0.000{col 77}{space 4} .1120143{col 90}{space 3} .2175566
{txt}{space 24}mf_df_rile1 {c |}{col 37}{res}{space 2} -.028466{col 49}{space 2} .0074384{col 60}{space 1}   -3.83{col 69}{space 3}0.000{col 77}{space 4} -.043045{col 90}{space 3} -.013887
{txt}{space 11}percent_month120_bothCab {c |}{col 37}{res}{space 2} .0350889{col 49}{space 2} .0105534{col 60}{space 1}    3.32{col 69}{space 3}0.001{col 77}{space 4} .0144047{col 90}{space 3} .0557731
{txt}{space 35} {c |}
{space 27}pk_group {c |}
{space 33}2  {c |}{col 37}{res}{space 2}-.5050575{col 49}{space 2} .0198023{col 60}{space 1}  -25.50{col 69}{space 3}0.000{col 77}{space 4}-.5438693{col 90}{space 3}-.4662456
{txt}{space 33}3  {c |}{col 37}{res}{space 2}-.8171387{col 49}{space 2} .0197249{col 60}{space 1}  -41.43{col 69}{space 3}0.000{col 77}{space 4}-.8557987{col 90}{space 3}-.7784787
{txt}{space 35} {c |}
pk_group#c.percent_month120_bothCab {c |}
{space 33}2  {c |}{col 37}{res}{space 2} .0154519{col 49}{space 2} .0013437{col 60}{space 1}   11.50{col 69}{space 3}0.000{col 77}{space 4} .0128183{col 90}{space 3} .0180854
{txt}{space 33}3  {c |}{col 37}{res}{space 2}  .025758{col 49}{space 2} .0013423{col 60}{space 1}   19.19{col 69}{space 3}0.000{col 77}{space 4} .0231271{col 90}{space 3}  .028389
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2} 5.144059{col 49}{space 2} .2288997{col 60}{space 1}   22.47{col 69}{space 3}0.000{col 77}{space 4} 4.695423{col 90}{space 3} 5.592694
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.313765{col 44} .2027493{col 58} .9708547{col 70} 1.777792
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .2933455{col 44} .0151746{col 58} .2650618{col 70} .3246472
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.797037{col 44}  .021723{col 58} 4.754649{col 70} 4.839803
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}22390.51{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188639.92}  
Iteration 1:{space 3}log likelihood = {res:-188639.92}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  9023.34
{txt}Log likelihood = {res}-188639.92{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       coop{col 29}{c |} Coefficient{col 41}  Std. err.{col 53}      z{col 61}   P>|z|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
coopscore_meanfull_withzero {c |}{col 29}{res}{space 2} .2223257{col 41}{space 2} .0309229{col 52}{space 1}    7.19{col 61}{space 3}0.000{col 69}{space 4}  .161718{col 82}{space 3} .2829335
{txt}{space 21}lrdist {c |}{col 29}{res}{space 2}-.2740092{col 41}{space 2} .0031604{col 52}{space 1}  -86.70{col 61}{space 3}0.000{col 69}{space 4}-.2802035{col 82}{space 3}-.2678148
{txt}{space 12}current_bothCab {c |}{col 29}{res}{space 2} 1.088424{col 41}{space 2} 1.114952{col 52}{space 1}    0.98{col 61}{space 3}0.329{col 69}{space 4}-1.096842{col 82}{space 3}  3.27369
{txt}{space 27} {c |}
{space 19}pk_group {c |}
{space 25}2  {c |}{col 29}{res}{space 2}-.3473897{col 41}{space 2} .0201422{col 52}{space 1}  -17.25{col 61}{space 3}0.000{col 69}{space 4}-.3868676{col 82}{space 3}-.3079118
{txt}{space 25}3  {c |}{col 29}{res}{space 2} -.599202{col 41}{space 2} .0197801{col 52}{space 1}  -30.29{col 61}{space 3}0.000{col 69}{space 4}-.6379702{col 82}{space 3}-.5604338
{txt}{space 27} {c |}
{space 1}pk_group#c.current_bothCab {c |}
{space 25}2  {c |}{col 29}{res}{space 2} .7934419{col 41}{space 2} .1278756{col 52}{space 1}    6.20{col 61}{space 3}0.000{col 69}{space 4} .5428103{col 82}{space 3} 1.044073
{txt}{space 25}3  {c |}{col 29}{res}{space 2} 1.307271{col 41}{space 2} .1212657{col 52}{space 1}   10.78{col 61}{space 3}0.000{col 69}{space 4} 1.069594{col 82}{space 3} 1.544947
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2} 5.421939{col 41}{space 2} .1224419{col 52}{space 1}   44.28{col 61}{space 3}0.000{col 69}{space 4} 5.181958{col 82}{space 3} 5.661921
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.215464{col 44} .1877452{col 58} .8979709{col 70} 1.645212
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3015754{col 44} .0156561{col 58} .2723995{col 70} .3338762
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.324638{col 44} .0209943{col 58} 4.283686{col 70} 4.365983
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}18222.58{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188204.83}  
Iteration 1:{space 3}log likelihood = {res:-188204.83}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  9993.24
{txt}Log likelihood = {res}-188204.83{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                        coop{col 30}{c |} Coefficient{col 42}  Std. err.{col 54}      z{col 62}   P>|z|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}coopscore_meanfull_withzero {c |}{col 30}{res}{space 2} .2267359{col 42}{space 2} .0307247{col 53}{space 1}    7.38{col 62}{space 3}0.000{col 70}{space 4} .1665166{col 83}{space 3} .2869552
{txt}{space 22}lrdist {c |}{col 30}{res}{space 2}-.2671104{col 42}{space 2} .0031524{col 53}{space 1}  -84.73{col 62}{space 3}0.000{col 70}{space 4} -.273289{col 83}{space 3}-.2609319
{txt}{space 11}perceived_bothCab {c |}{col 30}{res}{space 2} .3667454{col 42}{space 2} .0319507{col 53}{space 1}   11.48{col 62}{space 3}0.000{col 70}{space 4} .3041233{col 83}{space 3} .4293676
{txt}{space 28} {c |}
{space 20}pk_group {c |}
{space 26}2  {c |}{col 30}{res}{space 2}-.3852179{col 42}{space 2} .0221552{col 53}{space 1}  -17.39{col 62}{space 3}0.000{col 70}{space 4}-.4286414{col 83}{space 3}-.3417944
{txt}{space 26}3  {c |}{col 30}{res}{space 2}-.6108101{col 42}{space 2} .0215768{col 53}{space 1}  -28.31{col 62}{space 3}0.000{col 70}{space 4}-.6530999{col 83}{space 3}-.5685203
{txt}{space 28} {c |}
pk_group#c.perceived_bothCab {c |}
{space 26}2  {c |}{col 30}{res}{space 2} .3339347{col 42}{space 2} .0446753{col 53}{space 1}    7.47{col 62}{space 3}0.000{col 70}{space 4} .2463728{col 83}{space 3} .4214967
{txt}{space 26}3  {c |}{col 30}{res}{space 2} .4954965{col 42}{space 2} .0469219{col 53}{space 1}   10.56{col 62}{space 3}0.000{col 70}{space 4} .4035313{col 83}{space 3} .5874617
{txt}{space 28} {c |}
{space 23}_cons {c |}{col 30}{res}{space 2} 5.307258{col 42}{space 2} .1172683{col 53}{space 1}   45.26{col 62}{space 3}0.000{col 70}{space 4} 5.077417{col 83}{space 3}   5.5371
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} 1.119907{col 44} .1731019{col 58} .8272051{col 70} 1.516179
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33}  .284477{col 44} .0149585{col 58}  .256619{col 70} .3153591
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.284902{col 44} .0208017{col 58} 4.244325{col 70} 4.325867
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}17031.05{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-188523.81}  
Iteration 1:{space 3}log likelihood = {res:-188523.81}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    87,025

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   87,025{col 50} 87,025.0{col 61}   87,025
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     50.5{col 61}       81
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  9296.37
{txt}Log likelihood = {res}-188523.81{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                               coop{col 37}{c |} Coefficient{col 49}  Std. err.{col 61}      z{col 69}   P>|z|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}coopscore_meanfull_withzero {c |}{col 37}{res}{space 2}  .211056{col 49}{space 2} .0308414{col 60}{space 1}    6.84{col 69}{space 3}0.000{col 77}{space 4} .1506079{col 90}{space 3}  .271504
{txt}{space 29}lrdist {c |}{col 37}{res}{space 2}-.2728124{col 49}{space 2} .0031567{col 60}{space 1}  -86.42{col 69}{space 3}0.000{col 77}{space 4}-.2789995{col 90}{space 3}-.2666253
{txt}{space 11}percent_month120_bothCab {c |}{col 37}{res}{space 2} .0325665{col 49}{space 2} .0088992{col 60}{space 1}    3.66{col 69}{space 3}0.000{col 77}{space 4} .0151243{col 90}{space 3} .0500087
{txt}{space 35} {c |}
{space 27}pk_group {c |}
{space 33}2  {c |}{col 37}{res}{space 2}-.3949599{col 49}{space 2}  .020758{col 60}{space 1}  -19.03{col 69}{space 3}0.000{col 77}{space 4}-.4356449{col 90}{space 3}-.3542749
{txt}{space 33}3  {c |}{col 37}{res}{space 2}-.6743563{col 49}{space 2} .0203935{col 60}{space 1}  -33.07{col 69}{space 3}0.000{col 77}{space 4}-.7143268{col 90}{space 3}-.6343859
{txt}{space 35} {c |}
pk_group#c.percent_month120_bothCab {c |}
{space 33}2  {c |}{col 37}{res}{space 2} .0144448{col 49}{space 2} .0013169{col 60}{space 1}   10.97{col 69}{space 3}0.000{col 77}{space 4} .0118637{col 90}{space 3} .0170258
{txt}{space 33}3  {c |}{col 37}{res}{space 2} .0236005{col 49}{space 2} .0013029{col 60}{space 1}   18.11{col 69}{space 3}0.000{col 77}{space 4} .0210469{col 90}{space 3} .0261542
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2} 5.303524{col 49}{space 2} .1136872{col 60}{space 1}   46.65{col 69}{space 3}0.000{col 77}{space 4} 5.080701{col 90}{space 3} 5.526347
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .9519463{col 44} .1472378{col 58} .7030025{col 70} 1.289045
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3016782{col 44} .0156558{col 58} .2725023{col 70} .3339778
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.313953{col 44} .0209426{col 58} 4.273101{col 70} 4.355195
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}15981.01{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. /* Table A6.2 */
. 
. /* create group based only onthe number of correct answers to the current event questions */
. 
. 
. 
. capture drop sumCEcorrect
{txt}
{com}. egen sumCEcorrect=rowtotal(pk4correct pk5correct pk6correct)
{txt}
{com}. 
. capture drop ce_group
{txt}
{com}. gen ce_group=1 if sumCEcorrect<2
{txt}(103,072 missing values generated)

{com}. replace ce_group=2 if sumCEcorrect==2
{txt}(53,041 real changes made)

{com}. replace ce_group=3 if sumCEcorrect==3
{txt}(50,031 real changes made)

{com}. 
. set more off
{txt}
{com}. foreach policy in mf_df_rile1 lrdist{c -(}
{txt}  2{com}. 
. foreach cabpar in current_bothCab perceived_bothCab ///
>  percent_month120_bothCab{c -(}
{txt}  3{com}. 
.  mixed coop c.coopscore_meanfull##i.ce_group ///
>                                  `policy' ///
>                                  `cabpar'  ///
>                                   , ||_all:R.groupdyad || respid:       
{txt}  4{com}. 
. {c )-}
{txt}  5{com}. {c )-}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res: -151934.4}  
Iteration 1:{space 3}log likelihood = {res: -151934.4}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    68,124

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   68,124{col 50} 68,124.0{col 61}   68,124
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     39.5{col 61}       67
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   635.21
{txt}Log likelihood = {res} -151934.4{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull {c |}{col 31}{res}{space 2} .1185765{col 43}{space 2} .0315851{col 54}{space 1}    3.75{col 63}{space 3}0.000{col 71}{space 4} .0566707{col 84}{space 3} .1804822
{txt}{space 29} {c |}
{space 21}ce_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.3623424{col 43}{space 2}  .022038{col 54}{space 1}  -16.44{col 63}{space 3}0.000{col 71}{space 4}-.4055361{col 84}{space 3}-.3191488
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.5123534{col 43}{space 2} .0231305{col 54}{space 1}  -22.15{col 63}{space 3}0.000{col 71}{space 4}-.5576883{col 84}{space 3}-.4670185
{txt}{space 29} {c |}
ce_group#c.coopscore_meanfull {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .0804835{col 43}{space 2} .0371436{col 54}{space 1}    2.17{col 63}{space 3}0.030{col 71}{space 4} .0076833{col 84}{space 3} .1532836
{txt}{space 27}3  {c |}{col 31}{res}{space 2}  .206422{col 43}{space 2} .0398119{col 54}{space 1}    5.18{col 63}{space 3}0.000{col 71}{space 4} .1283921{col 84}{space 3}  .284452
{txt}{space 29} {c |}
{space 18}mf_df_rile1 {c |}{col 31}{res}{space 2}-.0351568{col 43}{space 2} .0095578{col 54}{space 1}   -3.68{col 63}{space 3}0.000{col 71}{space 4}-.0538896{col 84}{space 3}-.0164239
{txt}{space 14}current_bothCab {c |}{col 31}{res}{space 2} 2.084278{col 43}{space 2} .9379315{col 54}{space 1}    2.22{col 63}{space 3}0.026{col 71}{space 4}  .245966{col 84}{space 3}  3.92259
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.460894{col 43}{space 2} .2488662{col 54}{space 1}   21.94{col 63}{space 3}0.000{col 71}{space 4} 4.973125{col 84}{space 3} 5.948663
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .8514111{col 44} .1922421{col 58} .5469462{col 70} 1.325361
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3758194{col 44} .0201424{col 58} .3383439{col 70} .4174459
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}   4.8862{col 44} .0268931{col 58} 4.833774{col 70} 4.939195
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}7770.18{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res: -151644.8}  
Iteration 1:{space 3}log likelihood = {res: -151644.8}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    68,124

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   68,124{col 50} 68,124.0{col 61}   68,124
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     39.5{col 61}       67
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  1222.17
{txt}Log likelihood = {res} -151644.8{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull {c |}{col 31}{res}{space 2} .1294754{col 43}{space 2} .0314323{col 54}{space 1}    4.12{col 63}{space 3}0.000{col 71}{space 4} .0678692{col 84}{space 3} .1910815
{txt}{space 29} {c |}
{space 21}ce_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.3378419{col 43}{space 2}  .021959{col 54}{space 1}  -15.39{col 63}{space 3}0.000{col 71}{space 4}-.3808808{col 84}{space 3} -.294803
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.4654508{col 43}{space 2} .0231007{col 54}{space 1}  -20.15{col 63}{space 3}0.000{col 71}{space 4}-.5107273{col 84}{space 3}-.4201743
{txt}{space 29} {c |}
ce_group#c.coopscore_meanfull {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .0721572{col 43}{space 2} .0369949{col 54}{space 1}    1.95{col 63}{space 3}0.051{col 71}{space 4}-.0003514{col 84}{space 3} .1446659
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .1763798{col 43}{space 2} .0396676{col 54}{space 1}    4.45{col 63}{space 3}0.000{col 71}{space 4} .0986326{col 84}{space 3} .2541269
{txt}{space 29} {c |}
{space 18}mf_df_rile1 {c |}{col 31}{res}{space 2}-.0334973{col 43}{space 2} .0097588{col 54}{space 1}   -3.43{col 63}{space 3}0.001{col 71}{space 4}-.0526242{col 84}{space 3}-.0143703
{txt}{space 12}perceived_bothCab {c |}{col 31}{res}{space 2} .6099755{col 43}{space 2} .0251816{col 54}{space 1}   24.22{col 63}{space 3}0.000{col 71}{space 4} .5606205{col 84}{space 3} .6593305
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.346578{col 43}{space 2} .2537086{col 54}{space 1}   21.07{col 63}{space 3}0.000{col 71}{space 4} 4.849318{col 84}{space 3} 5.843838
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .8888958{col 44} .2006195{col 58}  .571135{col 70} 1.383448
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3618597{col 44} .0195423{col 58} .3255149{col 70} .4022625
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.847228{col 44} .0266782{col 58} 4.795221{col 70} 4.899799
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}7678.39{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-151921.82}  
Iteration 1:{space 3}log likelihood = {res:-151921.82}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    68,124

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   68,124{col 50} 68,124.0{col 61}   68,124
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,725{col 39}        7{col 50}     39.5{col 61}       67
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   687.06
{txt}Log likelihood = {res}-151921.82{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull {c |}{col 31}{res}{space 2}  .115931{col 43}{space 2} .0315401{col 54}{space 1}    3.68{col 63}{space 3}0.000{col 71}{space 4} .0541135{col 84}{space 3} .1777486
{txt}{space 29} {c |}
{space 21}ce_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.3621707{col 43}{space 2} .0220369{col 54}{space 1}  -16.43{col 63}{space 3}0.000{col 71}{space 4}-.4053621{col 84}{space 3}-.3189792
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.5118957{col 43}{space 2}  .023129{col 54}{space 1}  -22.13{col 63}{space 3}0.000{col 71}{space 4}-.5572278{col 84}{space 3}-.4665636
{txt}{space 29} {c |}
ce_group#c.coopscore_meanfull {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .0804404{col 43}{space 2} .0371433{col 54}{space 1}    2.17{col 63}{space 3}0.030{col 71}{space 4} .0076409{col 84}{space 3}   .15324
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .2056087{col 43}{space 2}  .039807{col 54}{space 1}    5.17{col 63}{space 3}0.000{col 71}{space 4} .1275885{col 84}{space 3} .2836289
{txt}{space 29} {c |}
{space 18}mf_df_rile1 {c |}{col 31}{res}{space 2}-.0297005{col 43}{space 2} .0070173{col 54}{space 1}   -4.23{col 63}{space 3}0.000{col 71}{space 4}-.0434541{col 84}{space 3}-.0159469
{txt}{space 5}percent_month120_bothCab {c |}{col 31}{res}{space 2}  .044352{col 43}{space 2} .0066833{col 54}{space 1}    6.64{col 63}{space 3}0.000{col 71}{space 4} .0312529{col 84}{space 3}  .057451
{txt}{space 24}_cons {c |}{col 31}{res}{space 2}  5.08396{col 43}{space 2} .1923474{col 54}{space 1}   26.43{col 63}{space 3}0.000{col 71}{space 4} 4.706966{col 84}{space 3} 5.460954
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .4528072{col 44} .1024803{col 58} .2905813{col 70} .7056009
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3758341{col 44} .0201426{col 58} .3383582{col 70} .4174609
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.886188{col 44}  .026893{col 58} 4.833762{col 70} 4.939183
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}6470.20{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-124757.62}  
Iteration 1:{space 3}log likelihood = {res:-124757.62}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    57,048

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   57,048{col 50} 57,048.0{col 61}   57,048
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     33.1{col 61}       61
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  4595.85
{txt}Log likelihood = {res}-124757.62{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull {c |}{col 31}{res}{space 2} .1517824{col 43}{space 2} .0351787{col 54}{space 1}    4.31{col 63}{space 3}0.000{col 71}{space 4} .0828335{col 84}{space 3} .2207314
{txt}{space 29} {c |}
{space 21}ce_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.2568697{col 43}{space 2} .0232958{col 54}{space 1}  -11.03{col 63}{space 3}0.000{col 71}{space 4}-.3025285{col 84}{space 3}-.2112108
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.3711836{col 43}{space 2} .0242509{col 54}{space 1}  -15.31{col 63}{space 3}0.000{col 71}{space 4}-.4187145{col 84}{space 3}-.3236528
{txt}{space 29} {c |}
ce_group#c.coopscore_meanfull {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .0883694{col 43}{space 2} .0358481{col 54}{space 1}    2.47{col 63}{space 3}0.014{col 71}{space 4} .0181083{col 84}{space 3} .1586304
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .2160802{col 43}{space 2} .0384384{col 54}{space 1}    5.62{col 63}{space 3}0.000{col 71}{space 4} .1407424{col 84}{space 3}  .291418
{txt}{space 29} {c |}
{space 23}lrdist {c |}{col 31}{res}{space 2}-.2552419{col 43}{space 2} .0040014{col 54}{space 1}  -63.79{col 63}{space 3}0.000{col 71}{space 4}-.2630844{col 84}{space 3}-.2473993
{txt}{space 14}current_bothCab {c |}{col 31}{res}{space 2} 1.670005{col 43}{space 2} .9161636{col 54}{space 1}    1.82{col 63}{space 3}0.068{col 71}{space 4} -.125643{col 84}{space 3} 3.465652
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.413111{col 43}{space 2} .1465635{col 54}{space 1}   36.93{col 63}{space 3}0.000{col 71}{space 4} 5.125852{col 84}{space 3}  5.70037
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .8123353{col 44} .1833508{col 58} .5219297{col 70} 1.264325
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3553882{col 44} .0200348{col 58} .3182123{col 70} .3969073
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.463296{col 44} .0269312{col 58} 4.410822{col 70} 4.516393
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}7068.97{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res:-124500.62}  
Iteration 1:{space 3}log likelihood = {res:-124500.62}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    57,048

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   57,048{col 50} 57,048.0{col 61}   57,048
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     33.1{col 61}       61
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  5153.66
{txt}Log likelihood = {res}-124500.62{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull {c |}{col 31}{res}{space 2}  .163222{col 43}{space 2} .0349778{col 54}{space 1}    4.67{col 63}{space 3}0.000{col 71}{space 4} .0946668{col 84}{space 3} .2317772
{txt}{space 29} {c |}
{space 21}ce_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.2338264{col 43}{space 2} .0232041{col 54}{space 1}  -10.08{col 63}{space 3}0.000{col 71}{space 4}-.2793055{col 84}{space 3}-.1883473
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.3262191{col 43}{space 2} .0242097{col 54}{space 1}  -13.47{col 63}{space 3}0.000{col 71}{space 4}-.3736692{col 84}{space 3} -.278769
{txt}{space 29} {c |}
ce_group#c.coopscore_meanfull {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .0819655{col 43}{space 2} .0356952{col 54}{space 1}    2.30{col 63}{space 3}0.022{col 71}{space 4} .0120043{col 84}{space 3} .1519268
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .1897963{col 43}{space 2} .0382877{col 54}{space 1}    4.96{col 63}{space 3}0.000{col 71}{space 4} .1147538{col 84}{space 3} .2648388
{txt}{space 29} {c |}
{space 23}lrdist {c |}{col 31}{res}{space 2} -.249548{col 43}{space 2} .0039914{col 54}{space 1}  -62.52{col 63}{space 3}0.000{col 71}{space 4} -.257371{col 84}{space 3}-.2417251
{txt}{space 12}perceived_bothCab {c |}{col 31}{res}{space 2} .5730272{col 43}{space 2} .0251333{col 54}{space 1}   22.80{col 63}{space 3}0.000{col 71}{space 4} .5237669{col 84}{space 3} .6222876
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.307498{col 43}{space 2} .1451939{col 54}{space 1}   36.55{col 63}{space 3}0.000{col 71}{space 4} 5.022923{col 84}{space 3} 5.592073
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .8162555{col 44} .1842496{col 58} .5244309{col 70} 1.270469
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3435045{col 44} .0194811{col 58} .3073679{col 70} .3838896
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.425483{col 44} .0267015{col 58} 4.373457{col 70} 4.478127
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}6914.62{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}
{res}
{txt}Performing EM optimization ...
{res}
{txt}Performing gradient-based optimization: {res}
{txt}Iteration 0:{space 3}log likelihood = {res: -124745.8}  
Iteration 1:{space 3}log likelihood = {res: -124745.8}  
{res}
{txt}Computing standard errors ...
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}    57,048

{txt}{col 9}Grouping information
{col 9}{hline 16}{c TT}{hline 44}
{col 25}{c |}{col 31}No. of{col 44}Observations per group
{col 10}Group variable{col 25}{c |}{col 31}groups{col 41}Minimum{col 52}Average{col 63}Maximum
{col 9}{hline 16}{c +}{hline 44}
{res}{col 20}_all{txt}{col 25}{c |}{res}{col 29}       1{col 39}   57,048{col 50} 57,048.0{col 61}   57,048
{col 18}respid{txt}{col 25}{c |}{res}{col 29}   1,724{col 39}        1{col 50}     33.1{col 61}       61
{txt}{col 9}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}  4647.40
{txt}Log likelihood = {res} -124745.8{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                         coop{col 31}{c |} Coefficient{col 43}  Std. err.{col 55}      z{col 63}   P>|z|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}coopscore_meanfull {c |}{col 31}{res}{space 2} .1465185{col 43}{space 2} .0350698{col 54}{space 1}    4.18{col 63}{space 3}0.000{col 71}{space 4} .0777829{col 84}{space 3} .2152541
{txt}{space 29} {c |}
{space 21}ce_group {c |}
{space 27}2  {c |}{col 31}{res}{space 2}-.2566854{col 43}{space 2} .0232945{col 54}{space 1}  -11.02{col 63}{space 3}0.000{col 71}{space 4}-.3023418{col 84}{space 3} -.211029
{txt}{space 27}3  {c |}{col 31}{res}{space 2}-.3709428{col 43}{space 2} .0242491{col 54}{space 1}  -15.30{col 63}{space 3}0.000{col 71}{space 4}-.4184701{col 84}{space 3}-.3234156
{txt}{space 29} {c |}
ce_group#c.coopscore_meanfull {c |}
{space 27}2  {c |}{col 31}{res}{space 2} .0884222{col 43}{space 2} .0358477{col 54}{space 1}    2.47{col 63}{space 3}0.014{col 71}{space 4}  .018162{col 84}{space 3} .1586825
{txt}{space 27}3  {c |}{col 31}{res}{space 2} .2152202{col 43}{space 2} .0384333{col 54}{space 1}    5.60{col 63}{space 3}0.000{col 71}{space 4} .1398923{col 84}{space 3}  .290548
{txt}{space 29} {c |}
{space 23}lrdist {c |}{col 31}{res}{space 2}-.2552835{col 43}{space 2} .0040005{col 54}{space 1}  -63.81{col 63}{space 3}0.000{col 71}{space 4}-.2631243{col 84}{space 3}-.2474427
{txt}{space 5}percent_month120_bothCab {c |}{col 31}{res}{space 2} .0408414{col 43}{space 2} .0066221{col 54}{space 1}    6.17{col 63}{space 3}0.000{col 71}{space 4} .0278623{col 84}{space 3} .0538205
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} 5.164563{col 43}{space 2} .1186027{col 54}{space 1}   43.55{col 63}{space 3}0.000{col 71}{space 4} 4.932106{col 84}{space 3}  5.39702
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects parameters{col 30}{c |}{col 34}Estimate{col 45}Std. err.{col 59}[95% conf. interval]
{hline 29}{c +}{hline 48}
{res}_all{txt}: Identity{col 30}{c |}
{col 13}var(R.groupdyad){col 30}{c |}{res}{col 33} .4486132{col 44} .1015487{col 58} .2878677{col 70} .6991191
{txt}{hline 29}{c +}{hline 48}
{res}respid{txt}: Identity{col 30}{c |}
{space 18}var(_cons) {c |}{res}{col 33} .3554058{col 44} .0200353{col 58}  .318229{col 70} .3969258
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 4.463285{col 44} .0269311{col 58} 4.410812{col 70} 4.516382
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}5662.93{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. 
. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}D:\swweschl\Dropbox\Party_Interactions_Perceptions\PSRM Submission\Replication Files\For_Simon\logs\appendix.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 2 Apr 2023, 07:46:14
{txt}{.-}
{smcl}
{txt}{sf}{ul off}